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相关论文: Analysis of skin lesion images with deep learning

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Skin cancer is the most common cancer in the existing world constituting one-third of the cancer cases. Benign skin cancers are not fatal, can be cured with proper medication. But it is not the same as the malignant skin cancers. In the…

图像与视频处理 · 电气工程与系统科学 2022-12-21 Dusa Sai Charan , Hemanth Nadipineni , Subin Sahayam , Umarani Jayaraman

Skin cancer is one of the most common forms of cancer and its incidence is projected to rise over the next decade. Artificial intelligence is a viable solution to the issue of providing quality care to patients in areas lacking access to…

计算机视觉与模式识别 · 计算机科学 2018-08-07 Nithin D Reddy

Skin cancer is the most common type of cancer. Specifically, melanoma is the cause of 75% of skin cancer deaths, although it is the least common skin cancer. Better detection of melanoma could have a positive impact on millions of people.…

计算机视觉与模式识别 · 计算机科学 2023-02-21 Chengdong Yao

In this paper, we studied extensively on different deep learning based methods to detect melanoma and skin lesion cancers. Melanoma, a form of malignant skin cancer is very threatening to health. Proper diagnosis of melanoma at an earlier…

计算机视觉与模式识别 · 计算机科学 2019-01-31 Md Ashraful Alam Milton

Skin cancer is a major public health problem, with over 5 million newly diagnosed cases in the United States each year. Melanoma is the deadliest form of skin cancer, responsible for over 9,000 deaths each year. In this paper, we propose an…

计算机视觉与模式识别 · 计算机科学 2019-06-05 Balazs Harangi

Melanoma is a type of skin cancer with the most rapidly increasing incidence. Early detection of melanoma using dermoscopy images significantly increases patients' survival rate. However, accurately classifying skin lesions by eye,…

计算机视觉与模式识别 · 计算机科学 2019-02-14 Xiaoxiao Li , Junyan Wu , Eric Z. Chen , Hongda Jiang

Skin cancer is one of the major types of cancers with an increasing incidence over the past decades. Accurately diagnosing skin lesions to discriminate between benign and malignant skin lesions is crucial to ensure appropriate patient…

计算机视觉与模式识别 · 计算机科学 2019-04-26 Amirreza Mahbod , Gerald Schaefer , Chunliang Wang , Rupert Ecker , Isabella Ellinger

Skin cancer is the most common human malignancy(American Cancer Society) which is primarily diagnosed visually, starting with an initial clinical screening and followed potentially by dermoscopic(related to skin) analysis, a biopsy and…

图像与视频处理 · 电气工程与系统科学 2022-02-03 Kartikeya Agarwal , Tismeet Singh

Melanoma, a malignant form of skin cancer is very threatening to life. Diagnosis of melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and malignant forms of skin cancer can be detected by analyzing the…

计算机视觉与模式识别 · 计算机科学 2017-03-14 P. Mirunalini , Aravindan Chandrabose , Vignesh Gokul , S. M. Jaisakthi

Skin lesion is a severe disease in world-wide extent. Early detection of melanoma in dermoscopy images significantly increases the survival rate. However, the accurate recognition of melanoma is extremely challenging due to the following…

计算机视觉与模式识别 · 计算机科学 2017-11-23 Yuexiang Li , Linlin Shen

Malignant melanoma is the deadliest form of skin cancer and, in recent years, is rapidly growing in terms of the incidence worldwide rate. The most effective approach to targeted treatment is early diagnosis. Deep learning algorithms,…

图像与视频处理 · 电气工程与系统科学 2020-09-21 Mario Manzo , Simone Pellino

Skin cancer, the most common human malignancy, is primarily diagnosed visually by physicians [1]. Classification with an automated method like CNN [2, 3] shows potential for challenging tasks [1]. By now, the deep convolutional neural…

计算机视觉与模式识别 · 计算机科学 2017-03-13 Wenhao Zhang , Liangcai Gao , Runtao Liu

Skin cancer, a major form of cancer, is a critical public health problem with 123,000 newly diagnosed melanoma cases and between 2 and 3 million non-melanoma cases worldwide each year. The leading cause of skin cancer is high exposure of…

图像与视频处理 · 电气工程与系统科学 2020-05-28 Saket S. Chaturvedi , Kajol Gupta , Prakash. S. Prasad

Melanoma is the deadliest form of skin cancer. While curable with early detection, only highly trained specialists are capable of accurately recognizing the disease. As expertise is in limited supply, automated systems capable of…

计算机视觉与模式识别 · 计算机科学 2016-10-19 Noel Codella , Quoc-Bao Nguyen , Sharath Pankanti , David Gutman , Brian Helba , Allan Halpern , John R. Smith

Skin cancer is among the most common cancer types. Dermoscopic image analysis improves the diagnostic accuracy for detection of malignant melanoma and other pigmented skin lesions when compared to unaided visual inspection. Hence,…

计算机视觉与模式识别 · 计算机科学 2020-06-29 Amirreza Mahbod , Gerald Schaefer , Chunliang Wang , Rupert Ecker , Georg Dorffner , Isabella Ellinger

Malignant melanoma has one of the most rapidly increasing incidences in the world and has a considerable mortality rate. Early diagnosis is particularly important since melanoma can be cured with prompt excision. Dermoscopy images play an…

计算机视觉与模式识别 · 计算机科学 2017-03-20 Lei Bi , Jinman Kim , Euijoon Ahn , Dagan Feng

Cancerous skin lesions are one of the most common malignancies detected in humans, and if not detected at an early stage, they can lead to death. Therefore, it is crucial to have access to accurate results early on to optimize the chances…

图像与视频处理 · 电气工程与系统科学 2023-05-19 Daniel Alonso Villanueva Nunez , Yongmin Li

Skin cancer is the most common cancer type. Usually, patients with suspicion of cancer are treated by doctors without any aided visual inspection. At this point, dermoscopy has become a suitable tool to support physicians in their…

分布式、并行与集群计算 · 计算机科学 2021-03-25 Yongli Mou , Sascha Welten , Yeliz Ucer Yediel , Toralf Kirsten , Oya Deniz Beyan

Melanoma is amongst most aggressive types of cancer. However, it is highly curable if detected in its early stages. Prescreening of suspicious moles and lesions for malignancy is of great importance. Detection can be done by images captured…

计算机视觉与模式识别 · 计算机科学 2017-03-29 Mohammad H. Jafari , Ebrahim Nasr-Esfahani , Nader Karimi , S. M. Reza Soroushmehr , Shadrokh Samavi , Kayvan Najarian

This paper reports the methods and techniques we have developed for classify dermoscopic images (task 1) of the ISIC 2019 challenge dataset for skin lesion classification, our approach aims to use ensemble deep neural network with some…

图像与视频处理 · 电气工程与系统科学 2019-11-19 Alla Eddine Guissous
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