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
Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans
The prevalence of brain tumor disorders is currently a global issue. In general, radiography,
which includes a large number of images, is an efficient method for diagnosing these life …
which includes a large number of images, is an efficient method for diagnosing these life …
Facial classification for autism spectrum disorder
Autism spectrum disorder (ASD) is a mental condition that affects people's learning,
communication, and expression in their daily lives. ASD usually makes it difficult to socialize …
communication, and expression in their daily lives. ASD usually makes it difficult to socialize …
An edge computing-based factor-aware novel framework for early detection and classification of melanoma disease through a customized VGG16 architecture with …
Melanoma is dangerous skin cancer disease with high malignancy potential, necessitates
advanced detection methods for improved patient outcomes. This study proposes a novel …
advanced detection methods for improved patient outcomes. This study proposes a novel …
YOLOv7 for brain tumour detection using morphological transfer learning model
An accurate diagnosis of a brain tumour in its early stages is required to improve the
possibility of survival for cancer patients. Due to the structural complexity of the brain, it has …
possibility of survival for cancer patients. Due to the structural complexity of the brain, it has …
A systematic review of trending technologies in non-invasive automatic brain tumor detection
This manuscript provides a detailed review of state-of-the-art techniques for identifying brain
tumors using magnetic resonance imaging (MRI) analysis, focusing on automatic brain …
tumors using magnetic resonance imaging (MRI) analysis, focusing on automatic brain …
Automated image clarity detection for the improvement of colposcopy imaging with multiple devices
The proportion of women dying from cervical cancer in middle-and low-income countries is
over 60%, twice that of their high-income counterparts. A primary screening strategy to …
over 60%, twice that of their high-income counterparts. A primary screening strategy to …
Brain tumor classification using mobilenet
One of the deadliest diseases is a brain tumor, which develops when brain tissue inside the
skull grows suddenly and uncontrollably. Brain tumors are a significant health concern …
skull grows suddenly and uncontrollably. Brain tumors are a significant health concern …
C-SAN: Convolutional stacked autoencoder network for brain tumor detection using MRI
Abstract Magnetic Resonance Imaging (MRI) is a medical imaging technique that uses
strong magnetic fields and radio waves to generate detailed images of the brain and other …
strong magnetic fields and radio waves to generate detailed images of the brain and other …
[HTML][HTML] A lightweight attention-driven YOLOv5m model for improved brain tumor detection
Brain tumors are regarded as one of the most lethal, devastating, and aggressive diseases,
significantly reducing the life expectancy of affected individuals. For this reason, in pursuit of …
significantly reducing the life expectancy of affected individuals. For this reason, in pursuit of …
Node-Based Graph Convolutional Network with SLIC Method for Breast Cancer Ultrasound Images Classification
This research presents a novel node-based Graph Convolutional Network (GCN) approach
for the classification of breast cancer from ultrasound images. Utilizing the Simple Linear …
for the classification of breast cancer from ultrasound images. Utilizing the Simple Linear …