MSRFNet for skin lesion segmentation and deep learning with hybrid optimization for skin cancer detection-Reference-Cited by-同舟云学术

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MSRFNet for skin lesion segmentation and deep learning with hybrid optimization for skin cancer detection

Published:2023-03-27 Issue:7 Volume:71 Page:616-635
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Baskaran Diwan¹,Nagamani Yanda²,Merugula Suneetha³,Premnath S P⁴

Affiliation:

1. Department of Computer Science & Engineering, St. Joseph’s College of Engineering, Chennai, India

2. Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, Andhrapradesh, India

3. Department of CSE, GITAM School of Technology, GITAM (Deemed to be University), Visakhapatnam, India

4. Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2023.2187518

Reference55 articles.

1. BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification

2. Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm

3. Denoising of MRI Images Using Curvelet Transform

4. Retraction Note: Medical Image Enhancement by a Bilateral Filter Using Optimization Technique

5. GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Understanding Through Visual Question Answering: A Review from Past Research;Lecture Notes in Networks and Systems;2024

2. Internet of Things-Assisted Smart Skin Cancer Detection Using Metaheuristics with Deep Learning Model;Cancers;2023-10-17

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