mrunalsontakke

mrunalsontakke's Stars

• swethasubramanian/LungCancerDetection

  Use CNN to detect nodules in LIDC dataset.

  Language:Jupyter Notebook228108

• deyachatterjee/Lung-Cancer-Detection-CNN-and-GAN

  Detecting lung cancer from annotated CT scans of lung lesions from the LUNA16 dataset using CNN and GAN

  Language:Python215

• srujanielango/Lung-Cancer-Detection-using-3D-Convolutional-Neural-Networks

  Predicting whether a patient has cancer or not

  Language:Jupyter Notebook1610

• felixpeters/lung-cancer-detection

  Deep learning-based segmentation and classification of lung nodules

  Language:Jupyter Notebook2514

• ddhaval04/Lung-Cancer-Detection

  Language:Jupyter Notebook3228

• anshuljdhingra/Lung-Cancer-Detection-using-CNN

  Lung Cancer Detection using CNN

  Language:Jupyter Notebook2019

• rickbeeloo/CNN

  CNN to detect lung cancer

  Language:Python124

• Priyansh42/Lung-Cancer-Detection

  This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

  Language:Python4441

• lujian9328/LungCancerDetection

  This project presents the better Computer Aided Diagnosing (CAD) system for automatic detection of lung cancer. The initial process is lung region detection by applying basic image processing techniques such as Bit-Plane Slicing, Erosion, Median Filter, Dilation, Outlining, Lung Border Extraction and Flood-Fill algorithms to the CT scan images. After the lung region is detected, the segmentation is carried out with the help of Mean Shift clustering algorithm. With these, the features are extracted and the diagnosis rules are generated. These rules are then used for learning with the help of Random Forest. The experimentation is performed with 15, 000 images obtained from the kaggle contest. The experimental result shows that the proposed CAD system can able to tell the posterior probability of lung cancer for a patient based on the detection algorithm. Also the usage of Random Forest will increase the accuracy of detecting the cancer nodules.

  Language:Matlab186

• anna-wro/takecare

  An app helping you to take care of yourself.

  Language:Java2810

• Andrew-FungKinHo/whynot

  Language:Dart2316

• ifmeorg/ifme

  Free, open source mental health communication web app to share experiences with loved ones

  Language:Ruby1.5k735

• 29ki/29k

  This is the repository of the free, non-profit, open-source and co-created mental health app Aware.

  Language:TypeScript6533

• Milind220/CityHack22-DDD

  The Dinky Dong Department's (my team) submission for the CityHack 2022, BioTech hackathon. A mental health app made using Flutter and Firebase. Connects people who need mental health help with healthcare-providers that they can trust.

  Language:Dart42

• ZihengZZH/bipolar-disorder

  Multimodal Deep Learning Framework for Mental Disorder Recognition @ FG'20

  Language:Python3512

• Flaque/quirk

  ✨🐙 A GPL Licensed Cognitive Behavioral Therapy app for iOS and Android. Currently a teaching tool

  Language:TypeScript2.2k3.6k

• Shivam1337/MindCrafter

  AI & ML Based Mental Health Diagnosis & Consulting App.

  Language:Dart699

• gohjiayi/suicidal-text-detection

  Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.

  Language:Jupyter Notebook2911