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] Machine learning methods for histopathological image analysis
Abundant accumulation of digital histopathological images has led to the increased demand
for their analysis, such as computer-aided diagnosis using machine learning techniques …
for their analysis, such as computer-aided diagnosis using machine learning techniques …
[HTML][HTML] Artificial intelligence and digital pathology: challenges and opportunities
In light of the recent success of artificial intelligence (AI) in computer vision applications,
many researchers and physicians expect that AI would be able to assist in many tasks in …
many researchers and physicians expect that AI would be able to assist in many tasks in …
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Advances in artificial intelligence technologies have made it possible to obtain more
accurate and reliable results using digital images. Due to the advances in digital …
accurate and reliable results using digital images. Due to the advances in digital …
Research on image classification model based on deep convolution neural network
M **n, Y Wang - EURASIP Journal on Image and Video Processing, 2019 - Springer
Based on the analysis of the error backpropagation algorithm, we propose an innovative
training criterion of depth neural network for maximum interval minimum classification error …
training criterion of depth neural network for maximum interval minimum classification error …
[HTML][HTML] Fine-tuning and training of densenet for histopathology image representation using tcga diagnostic slides
Feature vectors provided by pre-trained deep artificial neural networks have become a
dominant source for image representation in recent literature. Their contribution to the …
dominant source for image representation in recent literature. Their contribution to the …
[HTML][HTML] A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier
Sign language is the comprehensive medium of mass communication for hearing and
speaking impaired individuals. As they can't speak or hear, they aren't able to use sound or …
speaking impaired individuals. As they can't speak or hear, they aren't able to use sound or …
[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
Automated classification of histopathology images using transfer learning
Early and accurate diagnosis of diseases can often save lives. Diagnosis of diseases from
tissue samples is done manually by pathologists. Diagnostics process is usually time …
tissue samples is done manually by pathologists. Diagnostics process is usually time …
Semi-supervised deep transfer learning for benign-malignant diagnosis of pulmonary nodules in chest CT images
Lung cancer is the leading cause of cancer deaths worldwide. Accurately diagnosing the
malignancy of suspected lung nodules is of paramount clinical importance. However, to …
malignancy of suspected lung nodules is of paramount clinical importance. However, to …
Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning
Deep learning methods have been shown to achieve excellent performance on diagnostic
tasks, but how to optimally combine them with expert knowledge and existing clinical …
tasks, but how to optimally combine them with expert knowledge and existing clinical …