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16+ results
Field: Nonmelanoma Skin Cancer Studies

An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models

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Md Shahin Ali, Md Sipon Miah, Jahurul Haque, Mahbubur Rahman et al.

Journal: Machine Learning with Applications
Year: 2021
Citations: 401

Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is getting increased speedily. There exist some researches for the computerized analysis of malignancy in skin lesion images. ...

Health SciencesMedicineOncologyOpen Access
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Malignant Melanoma S3‐Guideline “Diagnosis, Therapy and Follow‐up of Melanoma”

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Annette Pflugfelder, Corinna Kochs, Andreas Blum, Marcus Capellaro et al.

Journal: JDDG Journal der Deutschen Dermatologischen GesellschaftYear: 2013Citations: 238

This first German evidence-based guideline for cutaneous melanoma was developed under the auspices of the German Dermatological Society (DDG) and the Dermatologic Cooperative Oncology Group (DeCOG) and funded by the German Guideline Program in Oncology. The recommendations are based on a systematic ...

Health SciencesMedicineOncologyOpen Access
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A machine learning approach for skin disease detection and classification using image segmentation

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Mostafiz Ahammed, Md. Al Mamun, Mohammad Shorif Uddin

Journal: Healthcare AnalyticsYear: 2022Citations: 211

Skin diseases are common health problems around the world. The perils of the infections are invisible, which cause physical health distress as well as initiate mental depression. In addition, it sometimes leads to skin cancer in severe cases. Subsequently, diagnosing skin diseases from clinical imag...

Health SciencesMedicineOncologyOpen Access
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Overview of skin cancer types and prevalence rates across continents

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Amdad Hossain Roky, Mohammed Murshedul Islam, Abu Mohammed Fuad Ahasan, Md Saqline Mostaq et al.

Journal: Cancer Pathogenesis and TherapyYear: 2024Citations: 165

Skin cancer is one of the most prevalent cancers in the world, and its incidence and mortality rates are increasing continuously, mostly in regions with white-skinned inhabitants. The types of skin cancer vary in their origin and clinical appearances and also differ in their extensiveness. The conti...

Health SciencesMedicineEpidemiologyOpen Access
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DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation

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Md. Kamrul Hasan, Md. Toufick E Elahi, Md. Ashraful Alam, Md. Tasnim Jawad et al.

Journal: Informatics in Medicine UnlockedYear: 2022Citations: 155

Although automated Skin Lesion Classification (SLC) is a crucial integral step in computer-aided diagnosis, it remains challenging due to variability in textures, colors, indistinguishable boundaries, and shapes. This article proposes an automated dermoscopic SLC framework named Dermoscopic Expert (...

Health SciencesMedicineOncologyOpen Access
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Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security

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Md. Nazmul Hossen, Vijayakumari Panneerselvam, Deepika Koundal, Kawsar Ahmed et al.

Journal: IEEE Journal of Biomedical and Health InformaticsYear: 2022Citations: 154

Human skin disease, the most infectious dermatological ailment globally, is initially diagnosed by sight. Some clinical screening and dermoscopic analysis of skin biopsies and scrapings for accurate classification are medically compulsory. Classification of skin diseases using medical images is more...

Health SciencesMedicineOncology
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An approach for multiclass skin lesion classification based on ensemble learning

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Zillur Rahman, Md. Sabir Hossain, Md. Rabiul Islam, Md. Mynul Hasan et al.

Journal: Informatics in Medicine UnlockedYear: 2021Citations: 151

Skin cancer is recognized as the most common kind of cancer in the world. It could be deadly if not identified at the primary stage, which makes early detection very crucial. It is possible to identify it with the naked eye, but high inter-class similarity and intra-class variations make it too hard...

Health SciencesMedicineOncologyOpen Access
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A survey, review, and future trends of skin lesion segmentation and classification

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Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, Guang Yang

Journal: Computers in Biology and MedicineYear: 2023Citations: 139

The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion analysis is an emerging field of research that has the potential to alleviate the burden and cost of skin cancer screening. Researchers have recently indicated increasing interest in developing such CAD systems, with the intent...

Health SciencesMedicineOncologyOpen Access
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Skin Cancer Detection Using Convolutional Neural Network

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Mahamudul Hasan, Surajit Das Barman, Samia Islam, Ahmed Wasif Reza

Year: 2019Citations: 137

Skin cancer is an alarming disease for mankind. The necessity of early diagnosis of the skin cancer have been increased because of the rapid growth rate of Melanoma skin cancer, itś high treatment costs, and death rate. This cancer cells are detected manually and it takes time to cure in most of the...

Health SciencesMedicineOncology
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Detection and Classification of Skin Cancer by Using a Parallel CNN Model

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Noortaz Rezaoana, Mohammad Shahadat Hossain, Karl Andersson

Journal: 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)Year: 2020Citations: 98

Skin cancer is one of the most lethal of all cancers. When it is not diagnosed and handled at the beginning, it is supposed to extend to other areas of the body.It also occurs while the tissue is revealed to light from the sun, mainly due to the rapid development of skin cells. For early detection, ...

Health SciencesMedicineOncologyOpen Access
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Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System

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Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh. Abdullah Al-Aff, Shams Ibne Karim et al.

Journal: International Journal of Biomedical ImagingYear: 2024Citations: 93

Skin cancer is a significant health concern worldwide, and early and accurate diagnosis plays a crucial role in improving patient outcomes. In recent years, deep learning models have shown remarkable success in various computer vision tasks, including image classification. In this research study, we...

Health SciencesMedicineOncologyOpen Access
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An artificial neural network based detection and classification of melanoma skin cancer using hybrid texture features

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Priyanti Paul Tumpa, Md. Ahasan Kabir

Journal: Sensors InternationalYear: 2021Citations: 93

Melanoma being the most unpredictable and life-threating cancer, has been on the rise in recent times. In most of the cases being fatal, if treated early, the fatality rate might be lowered severely. Hands-on Melanoma detection at primary stages with the unassisted eye is error-prone and requires va...

Health SciencesMedicineOncologyOpen Access
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Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning Approach with U-Net and DCNN-SVM

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Zabir Al Nazi, Tasnim Azad Abir

Journal: Algorithms for intelligent systemsYear: 2019Citations: 79
Health SciencesMedicineOncology
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S3‐Guideline “Diagnosis, therapy and follow‐up of melanoma” – short version

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Annette Pflugfelder, Corinna Kochs, Andreas Blum, Marcus Capellaro et al.

Journal: JDDG Journal der Deutschen Dermatologischen GesellschaftYear: 2013Citations: 78
Health SciencesMedicineOncology
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Association Between Race/Ethnicity and Survival of Melanoma Patients in the United States Over 3 Decades

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Melissa Ward‐Peterson, Juan Acuña, Mohammed Alkhalifah, Abdulrahman Nasiri et al.

Journal: MedicineYear: 2016Citations: 71

UNLABELLED: Melanoma is a treatable and preventable skin cancer. It is responsible for 75% of deaths among all skin cancers. Previous studies have found that race/ethnicity may play a role in survival among melanoma patients. However, there are no studies that cover 30 years and take race into accou...

Health SciencesMedicineOncologyOpen Access
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