58 skills found · Page 2 of 2
duggalrahul / Overlapping Cell Nuclei Segmentation Using DBNCode accompanying our ICVGIP 2016 paper
tanjimin / CANVASOfficial repository for Characterization of tumor heterogeneity through segmentation-free representation learning on multiplexed imaging data
radiuma-com / SlicerPySERAImplementation of PySERA in 3D Slicer
inboxpraveen / Skin Cancer DetectionA production-grade deep learning system for automated skin lesion classification using the HAM10000 dataset. This system provides training, evaluation, and real-time inference capabilities for detecting seven types of skin lesions.
Arison99 / Cancer FightA Machine Learning research tool that can be used to scan x-ray mammogram images for breast cancer. 30+ Features are extracted from the uploaded image through an image scanner and sent to the model for prediction. For more information, read through the Readme.md
MahdiAll99 / MEDimagePython Open-source package for medical images processing and radiomics features extraction.
rymshasaeed / Automated Eye Cancer DetectionDeep ConvNets based eye cancer detection
DivyaRavindran007007 / PROSTATEx 2SPIE-AAPM-NCI PROSTATEx Challenges-The PROSTATEx Challenge (" SPIE-AAPM-NCI Prostate MR Classification Challenge”) focused on quantitative image analysis methods for the diagnostic classification of clinically significant prostate cancers and was held in conjunction with the 2017 SPIE Medical Imaging Symposium. PROSTATEx ran from November 21, 2016 to January 15, 2017, though a "live" version has also been established at https://prostatex.grand-challenge.org which serves as an ongoing way for researchers to benchmark their performance for this task. The PROSTATEx-2 Challenge (" SPIE-AAPM-NCI Prostate MR Gleason Grade Group Challenge" ) was focused on the development of quantitative multi-parametric MRI biomarkers for the determination of Gleason Grade Group in prostate cancer.
radxtools / Topology RadiomicsPython implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.
leksialevin7700 / CellVisionCellVision AI is an advanced platform for cancer cell image analysis, featuring AI-powered classification, automated cell counting, batch processing, time-lapse tracking, and interactive tools—empowering researchers and clinicians with fast, accurate, and transparent cellular insights.
fpaupier / Cancerous Cells Scans ProcessingPredict survival time from PET scans
pohl-michel / Lucas Kanade Pyramidal Optical Flow For 3D Image SequencesImplementation of the Lucas-Kanade pyramidal optical flow algorithm to register 3D medical images; 1st repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
Biomedical-Computing-UFPE / MammoThermThermographic mammary images database for breast cancer research
ryanneph / BNPSegBayesian Non-Parametric Image Segmentation using HDP-MRF
arjunbahuguna / Skin Cancer ClassificationSkin cancer classification using transfer learning
MEDomicsLab / MEDimlPython Open-source package for medical images processing and radiomics features extraction.
sanidhyamangal / Lung Colon Cancer ResearchThis repo is for storing all the results for cancer related research on lung colon histopathological images
Abdulrahman-Adel / Skin Cancer DetectionImplementing a Research paper to detect cancer from skin images
skr1 / ImageneImaGene: A multi-omic ML/AI software with guided operational reports and supporting files
Giammarco07 / DeePRAC ProjectLearning anatomical digital twins in pediatric 3D imaging for renal cancer surgery. A project of LTCI-Télécom Paris (IPP), LIP6-Sorbonne Université, IMAG2-Necker hospital-Imagine and Philips Research France. PhD project of Giammarco La Barbera
