edziocodes/medgemma-breast-cancer
https://huggingface.co/edziocodes/medgemma-breast-cancerThis model is a fine-tuned version of google/medgemma-4b-it adapted for binary mammogram classification on the OMAMA 256×256 dataset. The dataset consists of ~154k mammogram image slices (.npz) with metadata JSONs providing labels (NonCancer, Cancer).
Sourced from
- HuggingFace — edziocodes/medgemma-breast-cancer
Related resources
nikitaredy/medictron-7B
by nikitaredyA domain-adapted clinical LLM fine-tuned on synthetic Indian medical Q&A records using QLoRA (4-bit quantization) with Unsloth 2x speedup. Built to power the conversational AI layer.
This model is a fine-tuned version of DeBERTa on the PubMED Dataset.
johnsnowlabs/JSL-MedLlama-3-8B-v2.0
by johnsnowlabs# JSL-MedLlama-3-8B-v2.0
vadimbelsky/qwen3.5-medical-ft
by vadimbelskyLoRA fine-tune of Qwen3.5-9B on synthetic clinical triage Q&A pairs generated from PubMed Central open-access papers. The model is specialized for emergency-medicine decision-making: triaging patients, applying clinical decision rules, and generating protocol-grounded triage recommendations.
Original code at https://github.com/Edoar-do/HuBERT-ECG
Details coming soon