Zobrazeno 1 - 10
of 389
pro vyhledávání: '"dermoscopic images"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Skin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1 million people get skin cancer every year in the world. The effectiveness of the disease’s therapy is significantly impacted by early identificati
Externí odkaz:
https://doaj.org/article/5a5a0261eeff4d3abcd369e403b092d2
Autor:
Fan Zhong, Kaiqiao He, Mengqi Ji, Jianru Chen, Tianwen Gao, Shuli Li, Junpeng Zhang, Chunying Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Vitiligo is a hypopigmented skin disease characterized by the loss of melanin. The progressive nature and widespread incidence of vitiligo necessitate timely and accurate detection. Usually, a single diagnostic test often falls short of prov
Externí odkaz:
https://doaj.org/article/9073a335532043febcbabc57e0a7b9d8
Autor:
R. Karthik, R. Menaka, Shivansh Atre, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy
Publikováno v:
IEEE Access, Vol 12, Pp 158040-158051 (2024)
Skin lesions are localized regions of the skin exhibiting atypical growth or appearance and can be either benign or malignant. Detecting and classifying these lesions accurately is crucial for early diagnosis and effective treatment of skin cancer. H
Externí odkaz:
https://doaj.org/article/056dfa5489e64bf4951f2355d666ff4a
Publikováno v:
IEEE Access, Vol 12, Pp 135692-135700 (2024)
Skin cancer stands as the most widespread form of cancer globally, and early detection significantly enhances its treatability. Even though deep learning techniques have greatly improved the precision of segmentation, there is still potential for enh
Externí odkaz:
https://doaj.org/article/91303fbb3cc74300a046683a297f0be4
Publikováno v:
IEEE Access, Vol 12, Pp 128602-128617 (2024)
Aiming at the problems of dermatoscopic images such as hair occlusion, boundary-blurring, and high color variability, this paper proposes the fusion of Transformers and multi-scale perception modules skin lesion segmentation algorithm, which is refer
Externí odkaz:
https://doaj.org/article/b433a359a4a94d8d87a5ab2e0a0c21dd
Autor:
Karthik Ramamurthy, Illakiya Thayumanaswamy, Menaka Radhakrishnan, Daehan Won, Sindhia Lingaswamy
Publikováno v:
Diagnostics, Vol 14, Iss 13, p 1338 (2024)
Skin lesion classification is vital for the early detection and diagnosis of skin diseases, facilitating timely intervention and treatment. However, existing classification methods face challenges in managing complex information and long-range depend
Externí odkaz:
https://doaj.org/article/f3f012ee1e6544b2bf27bf410f2302e2
Publikováno v:
Informatics in Medicine Unlocked, Vol 48, Iss , Pp 101520- (2024)
Prototypical networks (PN) have emerged as one of multiple effective approaches for few-shot learning (FSL), even in medical image classification. This study focuses on implementing a PN for skin lesion classification to assess its performance, gener
Externí odkaz:
https://doaj.org/article/1ef067700d5f47dfb20a03d15bd99fa7
Publikováno v:
Informatics in Medicine Unlocked, Vol 44, Iss , Pp 101430- (2024)
The potential of deep neural networks in skin lesion classification has already been demonstrated to be on-par if not superior to the dermatologists’ diagnosis in experimental settings. However, the performance of these models usually deteriorates
Externí odkaz:
https://doaj.org/article/8430f2700fe64ed688b525b9f20e5cae
Autor:
Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 753 (2024)
A crucial challenge in critical settings like medical diagnosis is making deep learning models used in decision-making systems interpretable. Efforts in Explainable Artificial Intelligence (XAI) are underway to address this challenge. Yet, many XAI m
Externí odkaz:
https://doaj.org/article/2401a3b6331a44b89eae457eea243bec
Autor:
Sachin Gupta, Jayanthi R, Arvind Kumar Verma, Abhilash Kumar Saxena, Alok Kumar Moharana, Shubhashish Goswami
Publikováno v:
Measurement: Sensors, Vol 29, Iss , Pp 100887- (2023)
One of the worst illnesses in the world, melanoma has the potential to spread to many body sites if it is not detected early. Because of this, the use of automated diagnostic tools that may help doctors and even laypeople identify a certain illness h
Externí odkaz:
https://doaj.org/article/a41a2888558f42aa8ef5d573359e575e