Opportunities and obstacles for deep learning in biology and medicine
T Ching, DS Himmelstein… - Journal of the …, 2018 - royalsocietypublishing.org
… Biology and medicine are data-rich disciplines, but the data are complex and often ill-…
bench and bedside with the potential to transform several areas of biology and medicine. …
bench and bedside with the potential to transform several areas of biology and medicine. …
Knowledge and intelligent computing system in medicine
B Pandey, RB Mishra - Computers in biology and medicine, 2009 - Elsevier
Knowledge-based systems (KBS) and intelligent computing systems have been used in the
medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning (RBR)…
medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning (RBR)…
Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017
Background and Objective Computer Methods and Programs in Biomedicine (CMPB) is a
leading international journal that presents developments about computing methods and their …
leading international journal that presents developments about computing methods and their …
Applications of deep learning and reinforcement learning to biological data
Rapid advances in hardware-based technologies during the past decades have opened up
new possibilities for life scientists to gather multimodal data in various application domains, …
new possibilities for life scientists to gather multimodal data in various application domains, …
Deep learning and its applications in biomedicine
C Cao, F Liu, H Tan, D Song, W Shu… - Genomics …, 2018 - academic.oup.com
… Advances in biological and medical technologies have been providing us explosive volumes
of biological and physiological data, such as medical images, electroencephalography, …
of biological and physiological data, such as medical images, electroencephalography, …
[BOOK][B] Digitizing life: The introduction of computers to biology and medicine
JA November - 2006 - search.proquest.com
… Beyond surveying how computers recast intellectual and institutional aspects of biological
and medical research, this dissertation examines researchers’ motives for bringing computers …
and medical research, this dissertation examines researchers’ motives for bringing computers …
[HTML][HTML] Automatic segmentation of lung nodules with growing neural gas and support vector machine
… images, many research centers have developed computer-aided detection systems (CAD …
The three first stages of this system have been used in our work to reduce the volume of …
The three first stages of this system have been used in our work to reduce the volume of …
Machine learning in medical applications: A review of state-of-the-art methods
… This survey provides a comprehensive review of the use of ML in the medical field
highlighting standard technologies and how they affect medical diagnosis. Five major …
highlighting standard technologies and how they affect medical diagnosis. Five major …
RTSeg-Net: a lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images
Z Ou, J Bai, Z Chen, Y Lu, H Wang, S Long… - Computers in biology and …, 2024 - Elsevier
… This study describes the optimization of UNet for edge computing by reducing
parameters and incorporating DSconvs and tokenized TMP blocks to enhance efficiency. …
parameters and incorporating DSconvs and tokenized TMP blocks to enhance efficiency. …
Computational traditional Chinese medicine diagnosis: a literature survey
… With the development of intelligent computing technology in recent years, computational …
This survey provides the principles, applications, and current progress in computing for readers …
This survey provides the principles, applications, and current progress in computing for readers …