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cancer_hist

Classification and localization of nuclei in breast cancer histology slides

cancer_nn

ISIC 2017: Skin Lesion Analysis Towards Melanoma Detection (Lesion Classification)

cancres-2022-intratumoral-heterogeneity-dl-paper

capsnet

A Tensorflow implementation of a Capsule Network that allows you to separate/export the decoder and modify or tweak the dimensions on an Android app

capsnet-1

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

capsnet-2

Disentangle Latent Representations for Capsule Neural Network

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsnet-traffic-sign-classifier

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsulegan-presentation

presentation on [CapsuleGAN: Generative Adversarial Capsule Network](https://arxiv.org/pdf/1802.06167.pdf) for [Deep Learning Seminar](https://ufal.mff.cuni.cz/courses/npfl117)

capsulenet-on-mnist

Capsule on MNIST

capsulenetwork-for-medical-image-analysis

Deep learning algorithms have rapidly become a methodology of choice for analyzing medical images. This site repository for the major deep learning concepts pertinent to medical image analysis the current state-of-the-art, a critical discussion of open challenges and directions for future research.

cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

cased-tensorflow

Simple Tensorflow implementation of Curriculum Adaptive Sampling for Extreme Data Imbalance with multi GPU using LUNA16 (MICCAI 2017) / LUNA16 Tutorial

ccrcc-grading

ccrcc_grading_composite_high_resolution_network

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network - MICCAI 2021

ceal-medical-image-segmentation

Active Deep Learning for Medical Imaging Segmentation

changhsinlee.github.io

Build a Jekyll blog in minutes, without touching the command line.

chexnet

Implementation of the CheXNet network (PyTorch)

chexnet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images

citeseq_autoencoder

Integrative analysis of single-cell multi-omics data using deep learning

classifying-cancer

A Python-Tensorflow neural network for classifying cancer data

cleanlab

Finding label errors in datasets and learning with noisy labels.

cmput659_project

Diagnosing Schizophrenia with fMRI and PGMs

cnn-dicom-segmentation

DICOM Image Segmentation with CNNs in Tensorflow

cnn-from-scratch

A scratch implementation of Convolutional Neural Network in Python using numpy only and validated over CIFAR-10 & MNIST Dataset

cnn-re-tf

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

cnn4brca

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis

cnn_gaussian_process_uncertainty

Use Gaussian processes to estimate CNN classification uncertainty