AliAmini93 / SAM-Breast-Tumor-SegmentationLinks
Developed a custom application of the Segment Anything Model (SAM) for breast cancer tissue segmentation, utilizing Hugging Face's Transformers and fine-tuning the decoder to predict segmentation masks in medical imaging.
☆38Updated last year
Alternatives and similar repositories for SAM-Breast-Tumor-Segmentation
Users that are interested in SAM-Breast-Tumor-Segmentation are comparing it to the libraries listed below
Sorting:
- A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.☆39Updated last year
- Projects with Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO)☆30Updated last year
- An algorithm for robot navigation was designed, accounting for random obstacles and determining optimal paths. It leverages a genetic alg…☆14Updated 3 years ago
- The optimization of Wireless Sensor Networks (WSNs) using low-power nodes focused on energy efficiency, introducing a routing strategy fo…☆21Updated 3 years ago
- Developed BERT, LSTM, TFIDF, and Word2Vec models to analyze social media data, extracting service aspects and sentiments from a custom da…☆27Updated last year
- Developed the ViViT model for medical video classification, enhancing 3D organ image analysis using transformer-based architectures.☆28Updated last year
- Developed a Windows tool using PyQt5, integrating K-means clustering for data analysis. The application recommends optimal cluster number…☆26Updated 2 years ago
- Developed TactileNet, the first deep-learning model designed for surface roughness recognition using EEG data. This project leverages CNN…☆32Updated 3 years ago
- Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for featu…☆22Updated last year
- In 2021, a precise forecast of Iran Post's 2021-2022 income was achieved using ARIMA, with only a 1.5\% error. This approach was subseque…☆14Updated 2 years ago
- ☆12Updated last year
- Developed a Windows-based app for analyzing data distributions and identifying the best-fitted distribution using the Maximum Likelihood …☆18Updated 2 years ago
- Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extract…☆38Updated last year
- Implemented a CNN-LSTM Action Recognizer for dynamic motion analysis, integrating convolutional and recurrent neural networks to efficien…☆20Updated last year
- Autoencoders (AEs) were developed for high-resolution image reconstruction from TinyImageNet and pair recovery from averaged CIFAR-10 com…☆11Updated last year
- Developed the Neuro Vision Transformer, an innovative machine learning model utilizing Vision Transformer architecture for EEG signal cla…☆24Updated last year
- Implementing a Graph Neural Network in PyTorch for edge prediction on MNIST images, showcasing a novel approach in connectivity analysis.☆14Updated last year
- Build a model that estimates the cost of the premium.☆13Updated 3 years ago
- ☆11Updated 3 years ago
- Dev_Display 💻🚀 An awesome Portfolio template to showcase your skills , works & p…☆19Updated last year
- Lecture notes, scripts, and material for the lecture of Selected Statistics Topics in the Autonomous University of Querétaro☆12Updated 9 months ago
- ☆26Updated 7 months ago
- (not maintained) 💎 React on Rails starter app - with devise_token_auth☆25Updated 2 years ago
- Description about myself & my Interests☆14Updated last year
- A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resour…☆3,155Updated last year
- ☆14Updated 5 years ago
- A book and software collection about frontend☆15Updated 6 years ago
- Answers to 120 commonly asked data science interview questions.☆3,816Updated last year
- Compilation of resources for aspiring data scientists☆2,108Updated last year
- Segundo Ano do Ensino Médio Técnico do Senac Santa Cruz do Sul (Turma 3, entrada 2023)☆13Updated last week