Pinned Repositories
AI-scores-analysis-of-mammography
Analysis of AI scores from the mammography exam
Cervical-Cancer
CodeGeneration
Prompt engineering with Langchain and fine-tuning the CodeLlama model. The main aim is to generate task-specific C++ code snippets. Experiment with various prompts and models to create accurate C++ code. Unit test is conducted to validate the correctness and effectiveness of the generated code snippets.
ColorectalCancer
Frontend project in R Shiny for genetic risk assessment of colorectal cancer. Harnessing population cohort research, this platform analyzes genetic mutations to determine disease susceptibility and inform targeted drug selection.
GeneRankDetection
A tool for the detection and prediction of breast cancer, with the capability to integrate multiple batches of gene expression data across multiple platforms
LLM_NER_MultiNERD
LLM fine-tuned for Named Entity Recognition in MultiNERD Dataset
Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
MSSL
PyTorch-driven model for efficient vascular segmentation and classification using limited data. Combines semi-supervised and supervised techniques, setting a new standard in resource-efficient auto-segmentation.
OpenCV-for-Python-book
RCC-VascularMorphClassify
Machine learning project for classification of kidney cancer. Image processing and machine learning is carried out using Python, while Matlab handles advanced feature extraction. The approach uniquely leverages vascular network properties for RCC identification.
medxiaorudan's Repositories
medxiaorudan/CodeGeneration
Prompt engineering with Langchain and fine-tuning the CodeLlama model. The main aim is to generate task-specific C++ code snippets. Experiment with various prompts and models to create accurate C++ code. Unit test is conducted to validate the correctness and effectiveness of the generated code snippets.
medxiaorudan/ColorectalCancer
Frontend project in R Shiny for genetic risk assessment of colorectal cancer. Harnessing population cohort research, this platform analyzes genetic mutations to determine disease susceptibility and inform targeted drug selection.
medxiaorudan/MSSL
PyTorch-driven model for efficient vascular segmentation and classification using limited data. Combines semi-supervised and supervised techniques, setting a new standard in resource-efficient auto-segmentation.
medxiaorudan/RCC-VascularMorphClassify
Machine learning project for classification of kidney cancer. Image processing and machine learning is carried out using Python, while Matlab handles advanced feature extraction. The approach uniquely leverages vascular network properties for RCC identification.
medxiaorudan/OpenCV-for-Python-book
medxiaorudan/GeneRankDetection
A tool for the detection and prediction of breast cancer, with the capability to integrate multiple batches of gene expression data across multiple platforms
medxiaorudan/Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
medxiaorudan/AI-scores-analysis-of-mammography
Analysis of AI scores from the mammography exam
medxiaorudan/Cervical-Cancer
medxiaorudan/CourseSelect
校园选课系统样本 (a template for course selection system by Ruby on Rails)
medxiaorudan/LLM_NER_MultiNERD
LLM fine-tuned for Named Entity Recognition in MultiNERD Dataset
medxiaorudan/MammoScreen
A GUI-based image labeler tailored for images. Facilitates easy loading, viewing, and annotating of images, with an emphasis on radiological screenings
medxiaorudan/NLP_AMMI_Emotional_Scoring
NLP project utilizing a combination of vector space and LSTM models for emotion prediction
medxiaorudan/tiler
👷 Build images with images
medxiaorudan/transnet
Transmission System Network Inference
medxiaorudan/Type-Diabetes