prostate-cancer

There are 1 repository under prostate-cancer topic.

cbailes / awesome-ai-cancer
Awesome artificial intelligence in cancer diagnostics and oncology
deep-learning cancer-detection cancer-imaging cancer-prediction breast-cancer machine-learning prostate-cancer liver-cancer lung-cancer deep-neural-networks
140
Tesseract-MI / prostatecancer.ai
prostatecancer.ai is an AI-based, zero-footprint medical image viewer that can identify clinically significant prostate cancer.
cornerstone prostate-cancer ohif artificial-intelligence
Language:JavaScript 60
DIAGNijmegen / prostateMR_3D-CAD-csPCa
Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
prostate-cancer computer-aided-detection computer-aided-diagnosis mri-images tensorflow-keras attention-mechanisms attention-unet unetplusplus probabilistic-unet seresnet
Language:Python 39
oncogenetics / LocusExplorer
An interactive graphical illustration of genetic associations and their biological context
snp gwas prostate cancer plot manhattan-plot prostate-cancer r genetic-associations
Language:R 14
pimed / SPCNet
TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".
prostate-cancer-detection prostate-segmentation prostate prostate-cancer mri-segmentation lesion-detection spcnet prostate-cancer-biopsies
Language:Python 9
pimed / TRUSGlandSegmentation
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study
deep-learning domain-generalization knowledge-distillation medical-imaging mri prostate-cancer prostate-segmentation pytorch segmentation ultrasound
Language:Python 9
ShixiangWang / sigminer.prediction
Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures
sigminer prostate-cancer mutational-signatures keras
Language:R 8
digamjain / Cancer-Cell-Prediction
Here I tried various Machine Learning algorithms on different cancer's dataset present in CSV format.
machine-learning ml cancer-detection breast-cancer-wisconsin brain-tumor lung-cancer-detection prostate-cancer
Language:Jupyter Notebook 7
alvarillo89 / Glands-detection
🧠 A deep learning algorithm based on convolutional neural networks to detect glandular cells in digitalized biopsies of the prostate. Performed as bachelor thesis for the degree in computer engineering.
deep-learning deep-neural-networks convolutional-neural-networks computer-vision digital-pathology prostate-cancer neural-network whole-slide-imaging digital-image-processing keras-tensorflow opencv
Language:Python 6
med-air / PICG2scoring
[MICCAI'24] Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
mllm prostate-cancer pytorch
Language:Python 5
anindox8 / 2D-RetinaNet-for-Prostate-Localization-in-mpMRI
Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.
mri-data prostate prostate-cancer t2w dwi adc deep-learning 2d-detection tensorflow-estimator tensorflow-keras retinanet seresnet convolutional-neural-networks supervised-learning
Language:Python 4
piotrsobecki / PCa-CNNs
Prostate lesion classification using Deep Convolutional Neural Networks
ai convnet tensorflow prostate-cancer classification dnn cnn prostatex ml
Language:Jupyter Notebook 4
Pirata-Codex / Step-wise-forward-feature-selection
A wrapper containing search algorithm of Forward Selection + Pattern Classifier of KNN to use optimal features in prostate cancer
dimensionality-reduction feature feature-selection forward-selection knn numpy optimal-features prostate-cancer python search-algorithm wrapper
Language:Jupyter Notebook 4
tajwarabraraleef / 3Dpix2pix-for-prostate-brachytherapy
Keras/Tensorflow implementation of 3D pix2pix for automating seed planning for prostate brachytherapy
generative-adversarial-network image-to-image-translation prostate-brachytherapy prostate-cancer treatment-planning
Language:Python 4
tajwarabraraleef / coSegGAN
Keras/Tensorflow implementation for co-generation and segmentation of surgical instruments using unlabelled robot-assisted surgery data.
cyclegan generative-adversarial-network prostate-cancer segmentation unet unlabeled-data
Language:Python 4
trianne24 / softcom-project
Soft Computing Project by Shoffiyah (140810160057) and Patricia (140810160065).
evolving-fuzzy-systems soft-computing prostate-cancer
Language:MATLAB 4
hasansust32 / Prostate_Cancer_Predictio
His study addresses these concerns by predicting prostate cancer using six (6) machine learningtechniques: Random Forest, SVM, KNN, Logistic Regression, Neutral Network, and the Ensemble model. We gathered data from 100 patients who were placed in ten different circumstances. The data was categorised as malignant or non-cancerous. Among the six machine learning techniques, logistic regression, neuralnetworks, and ensemble learning have the potential to reach an accuracy of 95.00 percent. Ensemble learning can detect 96.55%of true positive prostate cancer in our model. KNN has a 90%accuracy rate, whereas SVM and Random Forest have an 85%accuracy rate.
prostate-cancer prostate-cancer-detection healthcare cancer-detection cancer-research prostate-cancer-biopsies machinelearning-python
Language:Jupyter Notebook 3
ntnu-mr-cancer / AutoRef
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition
mri prostate-cancer prostate object-detection reference-tissue normalization mri-images autoref
Language:MATLAB 3
tajwarabraraleef / TP-GAN
Keras/Tensorflow implementation of TP-GAN (end-to-end automatic approach for treatment planning in low-dose-rate prostate brachytherapy)
prostate-cancer prostate-brachytherapy treatment-planning generative-adversarial-network
Language:Python 3
AudreyDuran / ProstAttention-Net
Public release of ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
image-segmentation deep-learning prostate-cancer computer-aided-detection attention-mechanism mp-mri medical-imaging
Language:Python 2
BCMSLab / rkip
Code for the Cancers paper (Functional Linkage of RKIP to the Epithelial to Mesenchymal Transition and Autophagy during the Development of Prostate Cancer)
manuscript network-analysis cancer autophagy prostate-cancer research-compendium
Language:R 2
dzaridis / ProLesA-Net-A-multi-channel-3D-architecture-for-Prostate-MR-lesion-segmentation-with-multi-scale-Ch
ProLesA-Net: a Deep learning model For Prostate Lesion Segmentation from bi-parametric MR-Images
lesion-detection mri prostate-cancer segmentation
Language:Python 2
siraug / Prostate-Cancer-Prediction-With-OmniXAI
This repository is dedicated to raising awareness about prostate cancer through the prediction of prostate cancer and the explanation of the model's prediction using OmniXAI Explainers.
explainable-ai healthcare machine-learning prostate-cancer tabular-data xai
Language:Jupyter Notebook 2
swiri021 / PAM50_Classifier_for_PRCA
PAM50 classifier for Prostate Cancer in Python
pam50 prostate-cancer pam50classifier prad
Language:Python 2
tajwarabraraleef / TTMB-biopsy-core-registration
Framework for detecting needle deflection and registering TTMB biopsy cores
registration biopsy ttmb ultrasound mptrus prostate-cancer
Language:MATLAB 2
xmuyzz / DBSI-MLP-PCa-Detection
Using diffusion basis spectrum imaging (DBSI) and multi layer perceptron (MLP) for prostate cancer (PCa) prediction.
dnn mlp-classifier mri prostate-cancer
Language:Python 2
CielAl / pytorch-carcino-net
Pytorch implementation of carcino-net
prostate-cancer prostate-segmentation pytorch pytorch-implementation pytorch-lightning carcino-net
Language:Python 1
Jin93 / PCa-mpMRI
This repository includes the code for the paper "Detection of Prostate Cancer with Multi-Parametric MRI Utilizing the Anatomic Structure of the Prostate".
rcode prostate-cancer mpmri bayesian-models discriminant-analysis
Language:R 1
marchionniLab / BiologicalConstraints
Using biological constraints to improve the performance of transcriptomic gene signatures
machine-learning gene-signatures transcriptomics bladder-cancer breast-cancer prostate-cancer
Language:R 1
MohamedOmar2020 / pca_TME
Distinct mesenchymal cell states mediate prostate cancer progression
prostate-cancer single-cell-rna-seq spatial-proteomics stromal-cells tumor-microenvironment
Language:R 1
ntnu-mr-cancer / SegmentationReproducibility
The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images
segmentation reproducability deep-learning prostate prostate-cancer mri computer-aided-diagnosis
Language:MATLAB 1
ntnu-mr-cancer / T2-DWI
Fitting of three diffusion models to data acquired using combined T2-DWI.
mri mri-images prostate prostate-cancer diffusion dwi adc t2 echo-time diffusion-components t2-dwi
Language:MATLAB 1
shrey1216 / Medical-Imaging-Prostate-Extraction
Research on a unified shape-based framework for faster extraction of prostates from MR imagery
image-registration medical-imaging prostate-cancer segmentation shape-based-framework
1
stopsack / prostateredcap
prostateredcap: R package and workflow for a reproducible clinical-genomic database of prostate cancer
clinical-data database prostate-cancer
Language:R 1
SPRstat / Application-of-DL-in-Biostatistics
Exploratory project to study some instances of application of Deep Learning in biostatistics
artificial-neural-networks breast-cancer-wisconsin dcm-image-preprocessing prostate-cancer
0
amatov / ResistanceBiomarkerAnalysis
biomarker-discovery circulating-tumor-cells drug-response-prediction breast-cancer gastric-cancer prostate-cancer circular-hough-transform voronoi-diagram intensity-histogram-thresholding stationary-wavelet-transform sobel-filter feature-eccentricity difference-of-gaussian tubulin-bundling tubulin-inhibitors tubulin-tyrosination microfluidics-chip-enrichment brca1-drug-resistance paclitaxel-therapy transcription-factor-localization
Language:MATLAB

prostate-cancer

cbailes / awesome-ai-cancer

Tesseract-MI / prostatecancer.ai

DIAGNijmegen / prostateMR_3D-CAD-csPCa

oncogenetics / LocusExplorer

pimed / SPCNet

pimed / TRUSGlandSegmentation

ShixiangWang / sigminer.prediction

digamjain / Cancer-Cell-Prediction

alvarillo89 / Glands-detection

med-air / PICG2scoring

anindox8 / 2D-RetinaNet-for-Prostate-Localization-in-mpMRI

piotrsobecki / PCa-CNNs

Pirata-Codex / Step-wise-forward-feature-selection

tajwarabraraleef / 3Dpix2pix-for-prostate-brachytherapy

tajwarabraraleef / coSegGAN

trianne24 / softcom-project

hasansust32 / Prostate_Cancer_Predictio

ntnu-mr-cancer / AutoRef

tajwarabraraleef / TP-GAN

AudreyDuran / ProstAttention-Net

BCMSLab / rkip

dzaridis / ProLesA-Net-A-multi-channel-3D-architecture-for-Prostate-MR-lesion-segmentation-with-multi-scale-Ch

siraug / Prostate-Cancer-Prediction-With-OmniXAI

swiri021 / PAM50_Classifier_for_PRCA

tajwarabraraleef / TTMB-biopsy-core-registration

xmuyzz / DBSI-MLP-PCa-Detection

CielAl / pytorch-carcino-net

Jin93 / PCa-mpMRI

marchionniLab / BiologicalConstraints

MohamedOmar2020 / pca_TME

ntnu-mr-cancer / SegmentationReproducibility

ntnu-mr-cancer / T2-DWI

shrey1216 / Medical-Imaging-Prostate-Extraction

stopsack / prostateredcap

SPRstat / Application-of-DL-in-Biostatistics

amatov / ResistanceBiomarkerAnalysis