Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Explainable deep inherent learning for multi-classes skin lesion classification
There is often a lack of explanation when artificial intelligence (AI) is used to diagnose skin
lesions, which makes the physician unable to interpret and validate the output; thus …
lesions, which makes the physician unable to interpret and validate the output; thus …
Revolutionizing dermatology: a comprehensive survey of AI-enhanced early skin cancer diagnosis
Skin cancer is a significant global health concern, with its early detection and diagnosis
playing a pivotal role in improving patient health outcomes. In recent years, artificial …
playing a pivotal role in improving patient health outcomes. In recent years, artificial …
A survey on computer vision approaches for automated classification of skin diseases
Skin diseases are a significant concern for public health, demanding accurate diagnosis for
effective treatment. However, traditional diagnostic methods often suffer from subjectivity …
effective treatment. However, traditional diagnostic methods often suffer from subjectivity …
[HTML][HTML] Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention …
Melanoma skin cancer, an aggressive neoplasm arising from the malignant proliferation of
melanocytes, represents a formidable challenge in the field of oncology due to its high …
melanocytes, represents a formidable challenge in the field of oncology due to its high …
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
Automated system for classifying uni-bicompartmental knee osteoarthritis by using redefined residual learning with convolutional neural network
Knee Osteoarthritis (OA) is one of the most common joint diseases that may cause physical
disability associated with a significant personal and socioeconomic burden. X-ray imaging is …
disability associated with a significant personal and socioeconomic burden. X-ray imaging is …
[HTML][HTML] A hybrid deep learning skin cancer prediction framework
Skin cancer, a critical health concern, necessitates accurate early detection and
classification to mitigate its impact. However, the limited availability of medical datasets and …
classification to mitigate its impact. However, the limited availability of medical datasets and …
Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata
Abstract Background Sexually transmitted infections (STIs) pose a significant global public
health challenge. Early diagnosis and treatment reduce STI transmission, but rely on …
health challenge. Early diagnosis and treatment reduce STI transmission, but rely on …
[HTML][HTML] Utilizing EfficientNet for sheep breed identification in low-resolution images
Automatically recognizing sheep breeds is highly valuable for the sheep farming industry,
allowing farmers to pinpoint their specific business needs. Accurately distinguishing …
allowing farmers to pinpoint their specific business needs. Accurately distinguishing …
[HTML][HTML] SkinLesNet: classification of skin lesions and detection of melanoma cancer using a novel multi-layer deep convolutional neural network
Simple Summary While melanoma accounts for 4% of skin cancer cases, it causes 75% of
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …