AIbase
EN
Home
Segformer Finetuned Ihc
S

Segformer Finetuned Ihc

Developed by Isaacks
Image segmentation model fine-tuned on the Isaacks/ihc_slide_tissue dataset based on nvidia/mit-b0 model
Image Segmentation
Transformers
Open Source License:Other#Immunohistochemical image segmentation#Pathological tissue recognition#Low computational optimization
Downloads 14
Release Time : 8/2/2023

Model Overview

This model is a SegFormer optimized for immunohistochemical (IHC) slide tissue image segmentation tasks, suitable for medical image analysis applications.

Model Features

Specialized for medical imaging
Optimized for IHC slide tissue images, suitable for medical image analysis scenarios
Lightweight architecture
Based on the lightweight SegFormer architecture with mit-b0 backbone, offering high computational efficiency
End-to-end training
Complete training pipeline including optimization techniques like polynomial learning rate scheduling

Model Capabilities

Medical image segmentation
Tissue region recognition
Background and tissue differentiation

Use Cases

Medical image analysis
IHC slide tissue segmentation
Precise segmentation of immunohistochemically stained tissue slides
Evaluation loss 0.0326
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase