Linov Ocr Breastcancer Finetune
AI Prediction: benign Confidence: 82%
Model source
- Kind
- Text model
- File size
- 523 MB
- Version
- vLINOV-OCR_K_M
- Updated
- Sep 21, 2026
- Downloads
- 58
- Source
- Hugging Face
Source description
Breast Cancer Ultrasound Image Classification Model
AI Prediction: benign Confidence: 82%
This result is generated by an AI model for research and educational purposes only. It is not a medical diagnosis. Please consult a qualified healthcare professional for clinical interpretation. A breast ultrasound image classification model fine-tuned to classify ultrasound images into three categories:
- Benign
- Malignant
- Normal
This model was trained using the breastcancer-ultrasound-images dataset and is intended for medical imaging research, education, prototyping, and local/offline AI experimentation.
This model can also be explored for mobile and on-device AI workflows, where ultrasound images are processed directly on a laptop, edge device, or supported mobile phone without relying on a cloud API.
Important: This model is not a medical diagnostic tool. It is intended for research, education, and prototype development only.
Model Overview
| Item | Description |
|---|---|
| Model task | Breast ultrasound image classification |
| Input | Breast ultrasound image |
| Output | Benign, malignant, or normal prediction |
| Modality | Medical image / ultrasound image |
| Dataset | emre570/breastcancer-ultrasound-images |
| Main use case | Medical imaging AI research and prototype development |
| Local usage | Supported through compatible local inference runtime |
| Mobile usage | Possible after conversion or integration into mobile runtime |
| Offline usage | Possible after model and runtime are installed locally |
| Clinical use | Not intended for clinical diagnosis |
What This Model Is For
This model is designed to classify breast ultrasound images into one of three categories:
benign
malignant
normal
Sources
1 source
Sources
1 sourceVerified Sep 10
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- language: - en tags: - image-classification - computer-vision - medical-imaging - breast-cancer - ultrasound - healthcare - mobile-ai - offline-ai - local-ai - on-device-ai - edge-ai - research - prototyping pipeline_tag: image-classification library_name: transformers datasets: - emre570/breastcancer-ultrasound-images --- # Breast Cancer Ultrasound Image Classification Model AI Prediction: benign Confidence: 82% This result is generated by an AI model for research and educational purposes only. It is not a medical diagnosis. Please consult a qualified healthcare professional for clinical interpretation. A breast ultrasound image classification model fine-tuned to classify ultrasound images into three categories: - Benign - Malignant - Normal This model was trained using the `breastcancer-ultrasound-images` dataset and is intended for medical imaging research, education, prototyping, and local/offline AI experimentation. This model can also be explored for mobile and on-device AI workflows, where ultrasound images are processed directly on a laptop, edge device, or supported mobile phone without relying on a cloud API. > Important: This model is not a medical diagnostic tool. It is intended for research, education, and prototype development only. --- ## Model Overview | Item | Description | |---|---| | Model task | Breast ultrasound image classification | | Input | Breast ultrasound image | | Output | Benign, malignant, or normal prediction | | Modality | Medical image / ultrasound image | | Dataset | `emre570/breastcancer-ultrasound-images` | | Main use case | Medical imaging AI research and prototype development | | Local usage | Supported through compatible local inference runtime | | Mobile usage | Possible after conversion or integration into mobile runtime | | Offline usage | Possible after model and runtime are installed locally | | Clinical use | Not intended for clinical diagnosis | --- ## What This Model Is For This model is designed to classify breast ultrasound images into one of three categories: ```text benign malignant normal
Source context: 58 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo Linov1991/linov-ocr-breastcancer-finetune
