SOPHYSM - SOlid tumors PHYlogenetic Spatial Modeller - Julia GUI for Histological Analysis and Cancer Simulation

Read ImmunoHistoChimic images, segmented cells (pre-trained stardist model) and classifyed

Project focuses on diagnosing cancer through image analysis. It utilizes machine learning models and techniques to analyze medical images and classify cancerous cells or tumors. It aims to improve cancer diagnosis accuracy and assist healthcare professionals.

"The topology of vitronectin: A complementary feature for neuroblastoma risk classification based on computer‐aided detection" by Vicente-Munuera et al.

Code and script for Ultrasound tumor detection using pre-trained RESNET50 Faster R-CNN

This project aims to compare the performance of popular deep learning models, Convolutional Neural Network (CNN) and Xception with their added architectural modifications, for image classification on the Ham10000 dataset. The Ham10000 dataset contains 10,015 dermatoscopic images of pigmented skin lesions, which are categorized into seven different

Python Open-source package for medical images processing and radiomics features extraction.

PIXI is an XNAT plugin designed to help manage and analyze preclinical imaging data.

DECT-CLUST: DECT image clustering and application to HNSCC tumor segmentation

Dissertation on Cancer Detection [Prostate Cancer] Research and Study

Neural network for the detection of myocardial infarction through an ECG

HER2 stomarch cancer detection on biopsy images, KNN for celular detection and fine tuning InceptioV3 network for clasification.

Convolution Neural Network to predict Skin cancer. Skin cancer is considered as one of the most dangerous types of cancers and there is a drastic increase in the rate of deaths due to lack of knowledge on the symptoms and their prevention. Thus, early detection at premature stage is necessary so that one can prevent the spreading of cancer. Skin…

curriculum development ideas for computational biology internship and teaching assistantship @ AI4ALL

Empowering healthcare with AI, LeukoVision automates the detection of leukemia cells in blood smear images. Revolutionizing leukemia care with speed and accuracy.

This is the home for deployment scripts used to setup the Radiomics platform. This site was published at data.radiomics.io and maintained by @Kitware.

Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.

Jupyter notebook with Python-based workflow for co-registration of radiographic imaging (MRI/CT etc.) with digitized pathology images, and mapping annotations from pathology onto imaging.

Reference MATLAB and Python implementations of the RADISTAT algorithm

Per-Pixel Recognition of Cancers using Oriented Gabor filter on the GPU