# Hybrid U-Net architecture with REASPP and DenseNet for robust medical image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-u-net-architecture-with-reaspp-and-densenet-for-robust-medical-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Apu Bhowmick,Md. Rayhan Ahmed,Ashif Mahmud Joy,Mahmud Hasan |
| Citations | 0 |
| DOI | 10.1007/s00521-025-11738-w |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7133792739 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Ashif Mahmud Joy](https://scholariq.org/researchers/ashif-mahmud-joy/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.