samra-irshad's repositories
3d-boundary-constrained-networks
Boundary-constrained models for 3D abdominal multi-organ segmentation (Pytorch implementation)
acosp
Semantic Segmentation in Pytorch
AdvDrop
Code for "Adversarial attack by dropping information." (ICCV 2021)
AI-Challenger-Retinal-Edema-Segmentation
DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
calibration-framework
Python Framework to calibrate confidence estimates of classifiers like Neural Networks
DAR
Code for Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction [TMI 2022]
ddn
Deep Declarative Networks
deep_learning_object_detection
A paper list of object detection using deep learning.
deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
DeepLabV3Plus-Pytorch
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
deepmedic
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
DeepPATH
Classification of Lung cancer slide images using deep-learning
deepslide
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
hidden-stratification
Combating hidden stratification with GEORGE
KiU-Net-pytorch
Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI
mmdetection
OpenMMLab Detection Toolbox and Benchmark
MRNet
Code for CVPR 2021 paper. "Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling".
nltk
NLTK Source
PHiSeg-code
Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
pytorch-beginner
pytorch tutorial for beginners
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
shrinkbench
PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
thyroid-us
Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)