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Pegah's Projects

attentiondeepmil icon attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

clam icon clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

cnn-from-scratch icon cnn-from-scratch

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

deep-histopath icon deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deepslide icon 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.

diagflfh icon diagflfh

code related to submission of "Accurate diagnosis of lymphoma on whole slide histopathology images using deep learning"

lenet-from-scratch icon lenet-from-scratch

Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

ml-foundations icon ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

rbfnnpy icon rbfnnpy

Radial Basis Function Neural Network implementation for Python

unmask icon unmask

Repository for DCIS segmentation pipeline

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