Topic: tumour Goto Github
Some thing interesting about tumour
Some thing interesting about tumour
tumour,Implementation of tumoral growth using a discrete celullar automata, based on Dustin D.Phan work
User: coloal
tumour, A Transformer-based model for read-level DNA methylation pattern identification and tumour deconvolution
Organization: compepigen
Home Page: https://compepigen.github.io/methylbert/
tumour,Glioblastoma tumour classfication and tumour grade segmentattion using U-NET CNN
User: ironghost007
tumour,A bunch of PK/PD patient models with various diseases for open-/closed-loop control systems
User: mariuszmatusiak
tumour,This project uses machine learning to detect brain tumors early. Different models are trained on metabolite data to classify healthy and carcinoma-afflicted individuals. The top-performing EvoHDTree model is enhanced with the ADASYN up-sampling algorithm to accurately distinguish between malignant and non-malignant tumors.
User: mudit2004
tumour,MATLAB scripts for the paper "Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer"
User: paoloinglese
Home Page: http://pubs.rsc.org/en/content/articlelanding/2017/sc/c6sc03738k
tumour,A simple tumour classifier based on microRNA expression profiles
User: parttimenerd
tumour,A deep learning model to detect tumors in the given MRI images.
User: sinha199
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