Self-Supervised-Breast-Histopathology-Transformers

? An Artificial Inteligence to teach Google's Dinosaur to jump cactus

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

[ICCV 2023] Official implementation of the paper "Detection Transformer with Stable Matching"

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

This repo contains the official implementation of ICLR 2024 paper "Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video""

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%