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
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
Artificial intelligence for histology-based detection of microsatellite instability and prediction of response to immunotherapy in colorectal cancer
LA Hildebrand, CJ Pierce, M Dennis, M Paracha… - Cancers, 2021 - mdpi.com
Simple Summary Defects in a DNA repair pathway called mismatch repair (MMR) can lead
to cancer, including colorectal cancer (CRC). The detection of mismatch repair deficiency …
to cancer, including colorectal cancer (CRC). The detection of mismatch repair deficiency …
Decentralized federated learning through proxy model sharing
S Kalra, J Wen, JC Cresswell, M Volkovs… - Nature …, 2023 - nature.com
Institutions in highly regulated domains such as finance and healthcare often have restrictive
rules around data sharing. Federated learning is a distributed learning framework that …
rules around data sharing. Federated learning is a distributed learning framework that …
Overcoming the challenges to implementation of artificial intelligence in pathology
JS Reis-Filho, JN Kather - JNCI: Journal of the National Cancer …, 2023 - academic.oup.com
Pathologists worldwide are facing remarkable challenges with increasing workloads and
lack of time to provide consistently high-quality patient care. The application of artificial …
lack of time to provide consistently high-quality patient care. The application of artificial …
[HTML][HTML] A transfer learning architecture based on a support vector machine for histopathology image classification
Recently, digital pathology is an essential application for clinical practice and medical
research. Due to the lack of large annotated datasets, the deep transfer learning technique …
research. Due to the lack of large annotated datasets, the deep transfer learning technique …
Introduction to artificial intelligence and machine learning for pathology
JH Harrison Jr, JR Gilbertson… - … of pathology & …, 2021 - meridian.allenpress.com
Context.—Recent developments in machine learning have stimulated intense interest in
software that may augment or replace human experts. Machine learning may impact …
software that may augment or replace human experts. Machine learning may impact …
Basic of machine learning and deep learning in imaging for medical physicists
L Manco, N Maffei, S Strolin, S Vichi, L Bottazzi… - Physica Medica, 2021 - Elsevier
The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
Applications of microwaves in medicine leveraging artificial intelligence: Future perspectives
K Gopalakrishnan, A Adhikari, N Pallipamu, M Singh… - Electronics, 2023 - mdpi.com
Microwaves are non-ionizing electromagnetic radiation with waves of electrical and
magnetic energy transmitted at different frequencies. They are widely used in various …
magnetic energy transmitted at different frequencies. They are widely used in various …
Generating and evaluating synthetic data in digital pathology through diffusion models
Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks
like data augmentation and addressing data scarcity and privacy. However, its use …
like data augmentation and addressing data scarcity and privacy. However, its use …
Artificial intelligence and the medical physicist: welcome to the machine
M Avanzo, A Trianni, F Botta, C Talamonti, M Stasi… - Applied Sciences, 2021 - mdpi.com
Artificial intelligence (AI) is a branch of computer science dedicated to giving machines or
computers the ability to perform human-like cognitive functions, such as learning, problem …
computers the ability to perform human-like cognitive functions, such as learning, problem …