AIMC Topic: Skin Neoplasms
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Automatized self-supervised learning for skin lesion screening.
Scientific reports
Jun 3, 2024
Melanoma, the deadliest form of skin cancer, has seen a steady increase in incidence rates worldwide, posing a significant challenge to dermatologists. Early detection is crucial for improving patient survival rates. However, performing total body sc...
A real-time augmented reality system integrated with artificial intelligence for skin tumor surgery: experimental study and case series.
International journal of surgery (London, England)
Jun 1, 2024
BACKGROUND: Skin tumors affect many people worldwide, and surgery is the first treatment choice. Achieving precise preoperative planning and navigation of intraoperative sampling remains a problem and is excessively reliant on the experience of surge...
A model for skin cancer using combination of ensemble learning and deep learning.
PloS one
May 31, 2024
Skin cancer has a significant impact on the lives of many individuals annually and is recognized as the most prevalent type of cancer. In the United States, an estimated annual incidence of approximately 3.5 million people receiving a diagnosis of sk...
Machine learning-derived immunosenescence index for predicting outcome and drug sensitivity in patients with skin cutaneous melanoma.
Genes and immunity
May 29, 2024
The functions of immunosenescence are closely related to skin cutaneous melanoma (SKCM). The aim of this study is to uncover the characteristics of immunosenescence index (ISI) to identify novel biomarkers and potential targets for treatment. Firstly...
Effective prediction of human skin cancer using stacking based ensemble deep learning algorithm.
Network (Bristol, England)
May 28, 2024
Automated diagnosis of cancer from skin lesion data has been the focus of numerous research. Despite that it can be challenging to interpret these images because of features like colour illumination changes, variation in the sizes and forms of the le...
Empirical validation of Conformal Prediction for trustworthy skin lesions classification.
Computer methods and programs in biomedicine
May 27, 2024
BACKGROUND AND OBJECTIVE: Uncertainty quantification is a pivotal field that contributes to realizing reliable and robust systems. It becomes instrumental in fortifying safe decisions by providing complementary information, particularly within high-r...
Automated Prediction of Malignant Melanoma using Two-Stage Convolutional Neural Network.
Archives of dermatological research
May 25, 2024
PURPOSE: A skin lesion refers to an area of the skin that exhibits anomalous growth or distinctive visual characteristics compared to the surrounding skin. Benign skin lesions are noncancerous and generally pose no threat. These irregular skin growth...
Hyperspectral imaging with machine learning for in vivo skin carcinoma margin assessment: a preliminary study.
Physical and engineering sciences in medicine
May 21, 2024
Surgical excision is the most effective treatment of skin carcinomas (basal cell carcinoma or squamous cell carcinoma). Preoperative assessment of tumoral margins plays a decisive role for a successful result. The aim of this work was to evaluate the...
A hybrid CNN with transfer learning for skin cancer disease detection.
Medical & biological engineering & computing
May 18, 2024
The leading cause of cancer-related deaths worldwide is skin cancer. Effective therapy depends on the early diagnosis of skin cancer through the precise classification of skin lesions. However, dermatologists may find it difficult and time-consuming ...
A novel skin cancer detection model using modified finch deep CNN classifier model.
Scientific reports
May 16, 2024
Skin cancer is one of the most life-threatening diseases caused by the abnormal growth of the skin cells, when exposed to ultraviolet radiation. Early detection seems to be more crucial for reducing aberrant cell proliferation because the mortality r...
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