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
SNC_Net: skin cancer detection by integrating handcrafted and deep learning-based features using dermoscopy images
The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …
the fast growth in population density. Intelligent systems assist medical professionals in early …
The future of skin cancer diagnosis: a comprehensive systematic literature review of machine learning and deep learning models
Skin cancer, a life-threatening disease, necessitates early detection and accurate
classification for successful treatment. Misdiagnoses can lead to significant consequences …
classification for successful treatment. Misdiagnoses can lead to significant consequences …
DDCNN-F: double decker convolutional neural network'F'feature fusion as a medical image classification framework
Melanoma is a severe skin cancer that involves abnormal cell development. This study aims
to provide a new feature fusion framework for melanoma classification that includes a novel …
to provide a new feature fusion framework for melanoma classification that includes a novel …
Detection of melanoma with hybrid learning method by removing hair from dermoscopic images using image processing techniques and wavelet transform
Melanoma is one of the most dangerous types of skin cancer. Detecting melanoma is
complicated and takes too much time, which doctors and healthcare professionals …
complicated and takes too much time, which doctors and healthcare professionals …
Early‐Stage Melanoma Cancer Diagnosis Framework for Imbalanced Data From Dermoscopic Images
Skin problems are a serious condition that affects people all over the world. Prolonged
exposure to ultraviolet rays' damages melanocyte cells, leading to the uncontrolled …
exposure to ultraviolet rays' damages melanocyte cells, leading to the uncontrolled …
Improved classification of histopathological images with feature fusion of Thepade SBTC and Sauvola thresholding using machine learning
SD Thepade, MSD Patil - International Journal of …, 2025 - inderscienceonline.com
Histopathological images play a significant role in selecting effective therapeutics and
identifying disorders like cancer. Digital histopathology is a crucial advancement in …
identifying disorders like cancer. Digital histopathology is a crucial advancement in …
Classification of Botulinum Toxin Dosage for Upper Facial Wrinkles Using Inception-V3 Based on Grey Level Co-Occurrence Matrix Feature
A Wahyuni, Z Zainuddin… - 2024 8th International …, 2024 - ieeexplore.ieee.org
The human skin consists of several ectodermal layers, with the outermost layer acting as a
protective barrier against environmental factors. While BOTOX injections effectively reduce …
protective barrier against environmental factors. While BOTOX injections effectively reduce …
[PDF][PDF] De-Noising of Dermoscopic Images for Automatic Skin Cancer Detection Using Digital Image Processing J
RC Bandi, A Kamalakumari… - Journal of Data Acquisition …, 2023 - researchgate.net
Nowadays, skin cancer is one of the unrestrictive spreading diseases. Melanoma skin
cancer has the maximum fatality rate in contrast with other variety of cancers. Detection of …
cancer has the maximum fatality rate in contrast with other variety of cancers. Detection of …
[CITAAT][C] Generalizing Melanoma Skin Cancer Detection with Feature Fusion of DenseNet121 and Thepade Sorted Block Truncation Coding
SD Thepade… - International Journal of …, 2023 - University of Bahrain