caner-ercan

caner-ercan's Stars

• amueller/introduction_to_ml_with_python

  Notebooks and code for the book "Introduction to Machine Learning with Python"

  Language:Jupyter Notebook7.4k3661494.6k

• cxli233/FriendsDontLetFriends

  Friends don't let friends make certain types of data visualization - What are they and why are they bad.

  Language:R6.3k1117228

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook3.9k108742.4k

• qupath/qupath

  QuPath - Bioimage analysis & digital pathology

  Language:Java1k56803278

• mronkko/ZoteroQuickLook

  Implements QuickLook in Zotero

  Language:JavaScript757153682

• baidu-research/NCRF

  Cancer metastasis detection with neural conditional random field (NCRF)

  Language:Python7533757184

• muellerzr/Practical-Deep-Learning-for-Coders-2.0

  Notebooks for the "A walk with fastai2" Study Group and Lecture Series

  Language:Jupyter Notebook7444227165

• HenriquesLab/ZeroCostDL4Mic

  ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

  Language:Jupyter Notebook55535211129

• vqdang/hover_net

  Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

  Language:Python52611257223

• BMIRDS/deepslide

  Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

  Language:Python4841752137

• BiAPoL/Bio-image_Analysis_with_Python

  Lecture materials "Bio-image analysis, biostatistics, programming and machine learning for computational biology" at the Center of Molecular and Cellular Bioengineering (CMCB) / University of Technology, TU Dresden

  Language:Jupyter Notebook195191047

• rwbfd/ml-training-camp

  Language:Jupyter Notebook193263127

• Bayer-Group/paquo

  PAthological QUpath Obsession - QuPath and Python conversations

  Language:Python103109416

• muellerzr/Practical-Deep-Learning-For-Coders

  Material for my run of Fast.AI

  Language:Jupyter Notebook513116

• qalid7/compath

  deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma"

  Language:MATLAB47248

• liupei101/PseMix

  [IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

  Language:Python37353

• WaterKnight1998/Deep-Tumour-Spheroid

  Language:Jupyter Notebook343210

• choosehappy/QuPathGeoJSONImportExport

  Coincides with blogpost for using geojson and shapely

  Language:Python28117

• stardist/stardist-imagej

  StarDist plugin for ImageJ

  Language:Java2771414

• maragraziani/interpretAI_DigiPath

  Hands-on Sessions 1 and 2 at the Building Interpretable AI for Digital Pathology AMLD workshop 2021

  Language:Jupyter Notebook215812

• arjvik/QuPath-Scripting-Tools

  Toolkit to help develop and run QuPath scripts from Eclipse and other IDEs, including over remote connections. (See README.md for more information)

  Language:Groovy16101

• delmalih/WSI-Segmentation-Patch

  Whole Slide Images Segmentation using Patch UNet

  Language:Python15103

• mutterer/figure

  7300

• qinghezeng/ABRS-P

  Deep learning predicts sensitivity to atezolizumab-bevacizumab from digital slides of liver cancer

  Language:Python7201

• vqdang/QuPathTools

  Exporting and Importing Annotation from and to QuPath

  Language:Groovy5102

• KeremTurgutlu/experimental

  Language:Jupyter Notebook3311

• ac-gieshoff/interpreting-accuracy

  R-script to analyze interpreting accuracy

  1