lsq117's repositories
blinear-cnn-faster
A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition
Brain-Tumor-Segmentation-3D-UNet-CNN
Brain tumor segmentation using a 3D UNet CNN
Breast-Cancer-Prediction
Breast Cancer Prediction Using Machine Learning is a project which is going to deal with machine learning techniques, a state-of-the-art type of artificial intelligence that can be used by computers to detect and classify objects in images, could improve detection of breast cancer lesions in mammograms and help in the classification of breast cancer
Breast_Cancer_Classification_Neural_Network
Classifying Breast Cancer Stages from MRI data
Deep-Learning-Fine-Grained-Action-Recognition-Canine-Behavior
This repository contains the dataset, code and paper for my project: Capturing Spatial and Temporal Context for Fine Grained Canine Behaviour Action Recognition
Defining-Public-Scenes-from-Private-Using-MIT-Indoor67
we mixed and matched several feature extraction methods and classifiers to separate public images from private ones. We compared the performance of image feature extraction tools, including Convolutional Neural Networks (CNNs), Scale-Invariant Feature Transform (SIFT), and VGG16. We also studied through several state-of-the-art classifiers, including Multilayer Perceptron (MLP), Support Vector Machine (SVM) and K-Means, Linear Discriminant Analysis (LDA), Random Forest (RF) to see which classifier works best with which feature extraction tool. Index Terms—Indoor Scene Classification, Transfer Learning, SIFT, CNN, VGG16, SVM
makeyourownneuralnetwork
Code for the Make Your Own Neural Network book
MedMNIST
[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
resnet_cnn_mri_adni
Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper
ResUnet-model-for-building-segmentation
This repo is used to extract buildings from aerial images
scratchDetection
multi ways of scratch detection
SlicerSegmentationWizard
This is a 3D model-based segmentation tool for 3D Slicer. It includes utilities for calculating subtraction maps and thresholding intensities. It can be downloaded as an extension to 3D Slicer.
Spring-Automatic-Defect-Detection
detect Spring defection using opencv