ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

Classifying and localizing x-ray images into 5 category of "Normal", "Infiltration", "Atelectasis", "Effusion", and "Pneumothorax"

https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation

This repository contains the image classification followed by semantic segmentation of Chest X-Rays to detect a clinical condition called Pneumothorax.

Top 7% model during the SIM-ACR Pneumothorax Segmentation competition on Kaggle

a simple png file upload and detect whether a patient has pneumothorax or not. Unet with back bone of inception resnet v2 is used here.

Kaggle SIIM-ACR Pneumothorax Segmentation - Top 4% (50/1475)

Binary Classifier using CNN from Keras module in python. Pneumothorax Detection Project From MIT's 6.S191 Course Lab

Pneumothorax classification from CXR images

Kaggle competetion for Pheumothorax

Using CNNs for the 2019 SIIM-ACR Pneumothorax Segmentation Kaggle Challenge