AIMC Topic: Skin Neoplasms
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Exploring a specialized programmed-cell death patterns to predict the prognosis and sensitivity of immunotherapy in cutaneous melanoma via machine learning.
Apoptosis : an international journal on programmed cell death
Apr 14, 2024
The mortality and therapeutic failure in cutaneous melanoma (CM) are mainly caused by wide metastasis and chemotherapy resistance. Meanwhile, immunotherapy is considered a crucial therapy strategy for CM patients. However, the efficiency of currently...
Automated melanoma detection. An algorithm inspired from human intelligence characterizing disordered pattern of melanocytic lesions improving a convolutional neural network.
Journal of the American Academy of Dermatology
Apr 12, 2024
Histological interpretation of spitzoid tumours: an extensive machine learning-based concordance analysis for improving decision making.
Histopathology
Apr 12, 2024
The histopathological classification of melanocytic tumours with spitzoid features remains a challenging task. We confront the complexities involved in the histological classification of these tumours by proposing machine learning (ML) algorithms tha...
Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN-LSTM model.
Microscopy research and technique
Mar 22, 2024
Skin cancer is a terrifying disorder that affects all individuals. Due to the significant increase in the rate of melanoma skin cancer, early detection of skin cancer is now more critical than ever before. Malignant melanoma is one of the most seriou...
Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis.
BMJ (Clinical research ed.)
Mar 20, 2024
OBJECTIVES: To evaluate the effectiveness of safeguards to prevent large language models (LLMs) from being misused to generate health disinformation, and to evaluate the transparency of artificial intelligence (AI) developers regarding their risk mit...
Dermatoscopic features and potential pitfalls of artificial intelligence-based analysis of benign acral pigmented lesions in Black patients: A multicenter observational study.
Journal of the American Academy of Dermatology
Mar 19, 2024
SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images.
Diagnosis (Berlin, Germany)
Mar 18, 2024
OBJECTIVES: Early skin cancer diagnosis can save lives; however, traditional methods rely on expert knowledge and can be time-consuming. This calls for automated systems using machine learning and deep learning. However, existing datasets often focus...
Enhancing skin lesion classification with advanced deep learning ensemble models: a path towards accurate medical diagnostics.
Current problems in cancer
Mar 13, 2024
Skin cancer, including the highly lethal malignant melanoma, poses a significant global health challenge with a rising incidence rate. Early detection plays a pivotal role in improving survival rates. This study aims to develop an advanced deep learn...
Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes.
Archives of dermatological research
Mar 6, 2024
This paper presents the most current and innovative solutions applying modern digital image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of the most common types of cancers. It is said that in the USA only, one in...
Echoes of images: multi-loss network for image retrieval in vision transformers.
Medical & biological engineering & computing
Mar 4, 2024
This paper introduces a novel approach to enhance content-based image retrieval, validated on two benchmark datasets: ISIC-2017 and ISIC-2018. These datasets comprise skin lesion images that are crucial for innovations in skin cancer diagnosis and tr...
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