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
[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
MB-AI-His: histopathological diagnosis of pediatric medulloblastoma and its subtypes via AI
Medulloblastoma (MB) is a dangerous malignant pediatric brain tumor that could lead to
death. It is considered the most common pediatric cancerous brain tumor. Precise and timely …
death. It is considered the most common pediatric cancerous brain tumor. Precise and timely …
Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges
With medical software platforms moving to cloud environments with scalable storage and
computing, the translation of predictive artificial intelligence (AI) models to aid in clinical …
computing, the translation of predictive artificial intelligence (AI) models to aid in clinical …
Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm
Introduction Intracranial hemorrhage detection in 3D Computed Tomography (CT) brain
images has gained more attention in the research community. The major issue to deal with …
images has gained more attention in the research community. The major issue to deal with …
CoMB-deep: composite deep learning-based pipeline for classifying childhood medulloblastoma and its classes
Childhood medulloblastoma (MB) is a threatening malignant tumor affecting children all over
the globe. It is believed to be the foremost common pediatric brain tumor causing death …
the globe. It is believed to be the foremost common pediatric brain tumor causing death …
[HTML][HTML] AI-based pipeline for classifying pediatric medulloblastoma using histopathological and textural images
Pediatric medulloblastomas (MBs) are the most common type of malignant brain tumors in
children. They are among the most aggressive types of tumors due to their potential for …
children. They are among the most aggressive types of tumors due to their potential for …
ResNet-SVM: Fusion based glioblastoma tumor segmentation and classification
Computerized segmentation of brain tumor based on magnetic resonance imaging (MRI)
data presents an important challenging act in computer vision. In image segmentation …
data presents an important challenging act in computer vision. In image segmentation …
Multi-view representation for pathological image classification via contrastive learning
Pathological images have become indispensable in clinical practice, but their complexity
and blurred tissue structures pose challenges for accurate classification. To overcome this, it …
and blurred tissue structures pose challenges for accurate classification. To overcome this, it …
An Insight into Machine Learning Techniques for Cancer Detection
Cancer is a dreadful disease and a primary cause of death. Early cancer detection and
screening are critical for enhancing survival rates. Conventional cancer diagnostic …
screening are critical for enhancing survival rates. Conventional cancer diagnostic …
[PDF][PDF] Heart sounds classification using short-time fourier transform and gray level difference method
Accepted: 6 June 2022 The heart sound coming from the patient is observed using a
stethoscope, which is a medical tool to determine the patient's condition. The technique for …
stethoscope, which is a medical tool to determine the patient's condition. The technique for …