habibmrad Goto Github PK

pac18

sMRI based depression classification using 3D volumetric convolutional networks

panda-project

Kaggle Prostate cANcer graDe Assessment (PANDA) Challenge

panda-prostate-cancer-grade-assessment

PANDA-Prostate-cANcer-graDe-Assessment Kaggle Challenge

panda_challenge

25th place solution for Prostate cANcer graDe Assessment (PANDA) Challenge

pandas-summary

An extension to pandas dataframes describe function.

papaya

A pure JavaScript medical research image viewer.

paper-reading

Paper reading list in natural language processing, including dialogue system, text summarization, topic modeling, etc.

paper_implementations

Implementation of interesting research papers

parkinson-disease-project

Portfolio Project for DSR: Modelling Parkinson Disease Progression

passgan

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

path_r_cnn

Path R-CNN: Object Detection and Segmentation on Pathology Image.

pathcnn

Pathology image classifier architecture

pathology-images-analysis-using-cnn

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area

pathology_learning

Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.

pathomicfusion

Fusing Histology and Genomics via Deep Learning.

pcam

The PatchCamelyon (PCam) deep learning classification benchmark.

pdpbox

python partial dependence plot toolbox

pefile

pefile is a Python module to read and work with PE (Portable Executable) files

personalized-medicine

kaggle competition with text data

personalized-medicine-redefining-cancer-treatment

Personalized-Medicine-Redefining-Cancer-Treatment is a problem of classifying the given genetic mutations based on the literature available in the medical domain into one of the given 9 classes. In reality, The molecular pathologist searches for evidence in the medical literature that is relevant to the given genetic variations. Finally, this molecular pathologist spends a huge amount of time analyzing the evidence related to each of the variations to classify them. The goal of this case study is to replace the last step with a machine learning model.

personalized-medicine-redefining-cancer-treatment-1

Kaggle competition to predict the effect of genetic variants to enable personalized medicine.

personalized_medicine

personalized_medicine-1

Making sense out of Doctors' notes

personalized_medicine_nlp

Classification of genetic variations based on clinical evidence (text)

pharmacy-medicines-detection-and-classification

Pharmacy Medicines detection and classification

phd_project

Saul Moore -- PhD Deep Learning for Behavioural Genomics -- GitHub Repository

physionet

A convolutional neural network to detect atrial fibrillation from a single-lead ECG

physionet-1

MIT-BIH data preprocessing and a sample deep model

physionet-cardiovascular-signal-toolbox

PhysioNet Cardiovascular Signal Toolbox

physionet-challenge-2020

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020