Cover Image

nnMobileNet: Rethinking CNN for Retinopathy Research

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Wenhui, Qiu, Peijie, Chen, Xiwen, Li, Xin, Lepore, Natasha, Dumitrascu, Oana M., Wang, Yalin
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices
by: Li, Xin, et al.
Published: (2024)

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
by: Vasa, Vamsi Krishna, et al.
Published: (2024)

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection
by: Wang, Hao, et al.
Published: (2024)

nnMobileNet++: Towards Efficient Hybrid Networks for Retinal Image Analysis
by: Li, Xin, et al.
Published: (2025)

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
by: Vasa, Vamsi Krishna, et al.
Published: (2024)

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
by: Zhu, Wenhui, et al.
Published: (2024)

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement
by: Zhu, Wenhui, et al.
Published: (2025)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
by: Zhu, Wenhui, et al.
Published: (2024)

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)

CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
by: Chen, Xiwen, et al.
Published: (2025)

How Effective Can Dropout Be in Multiple Instance Learning ?
by: Zhu, Wenhui, et al.
Published: (2025)

How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
by: Gunawardhana, Malitha, et al.
Published: (2024)

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
by: Li, Yunxiang, et al.
Published: (2023)

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2024)

Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model
by: Shoaib, Mohamed R., et al.
Published: (2024)

Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
by: Mistry, Sahaj K., et al.
Published: (2024)

Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements
by: Li, Xiaolong, et al.
Published: (2025)

Selective Phase-Aware Training of nnU-Net for Robust Breast Cancer Segmentation in Multi-Center DCE-MRI
by: Zayim, Beyza, et al.
Published: (2025)

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2024)

Efficient Automated Diagnosis of Retinopathy of Prematurity by Customize CNN Models
by: Saeedi, Farzan, et al.
Published: (2025)

Diabetic Retinopathy Detection Using CNN with Residual Block with DCGAN
by: Aronno, Debjany Ghosh, et al.
Published: (2025)

Diagnostic Uncertainty in Pneumonia Detection using CNN MobileNetV2 and CNN from Scratch
by: Sudiardjo, Kennard Norbert, et al.
Published: (2025)

nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles
by: Zhang, Zhongyi, et al.
Published: (2025)

Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
by: Kalu, Chukwuemeka Arua, et al.
Published: (2025)

MRI Breast tissue segmentation using nnU-Net for biomechanical modeling
by: Pooyan, Melika, et al.
Published: (2024)

Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
by: Ilani, Mohsen Asghari, et al.
Published: (2025)

Segmenting Medical Images: From UNet to Res-UNet and nnUNet
by: Huang, Lina, et al.
Published: (2024)

Automated surgical planning with nnU-Net: delineation of the anatomy in hepatobiliary phase MRI
by: Olthof, Karin A., et al.
Published: (2025)

Research on Improving the High Precision and Lightweight Diabetic Retinopathy Detection of YOLOv8n
by: Yuhuan, Fei, et al.
Published: (2025)

Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI
by: Barakat, Mohtady, et al.
Published: (2026)

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
by: Pham, William, et al.
Published: (2024)

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
by: Zhu, Wenhui, et al.
Published: (2023)

TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification
by: Roy, Santanu, et al.
Published: (2025)

Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
by: Bougourzi, Fares, et al.
Published: (2024)

U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
by: Peng, Yaopeng, et al.
Published: (2023)

AResNet-ViT: A Hybrid CNN-Transformer Network for Benign and Malignant Breast Nodule Classification in Ultrasound Images
by: Zhao, Xin, et al.
Published: (2024)

Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
by: Kalisch, Hamza, et al.
Published: (2024)

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
by: Yuan, Chunyu, et al.
Published: (2023)