[HTML][HTML] Application of artificial intelligence to the diagnosis and therapy of colorectal cancer
Y Wang, X He, H Nie, J Zhou, P Cao… - American journal of …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is a relatively new branch of computer science involving many
disciplines and technologies, including robotics, speech recognition, natural language and …
disciplines and technologies, including robotics, speech recognition, natural language and …
Video‐based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey
Background The intra‐operative three‐dimensional (3D) structure of tissue organs and
laparoscope motion are the basis for many tasks in computer‐assisted surgery (CAS), such …
laparoscope motion are the basis for many tasks in computer‐assisted surgery (CAS), such …
[HTML][HTML] Designing a Hybrid Method of Artificial Neural Network and Particle Swarm Optimization to Diagnosis Polyps from Colorectal CT Images
Background: Since colorectal cancer is one of the most important types of cancer in the
world that often leads to death, computer-aided diagnostic (CAD) systems are a promising …
world that often leads to death, computer-aided diagnostic (CAD) systems are a promising …
Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status
QNE van Bokhorst, BBSL Houwen… - Endoscopy …, 2023 - thieme-connect.com
Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the second
leading cause of cancer relateddeath in the world [1]. CRC develops from precancerous …
leading cause of cancer relateddeath in the world [1]. CRC develops from precancerous …
A Monocular Variable Magnifications 3D Laparoscope System Using Double Liquid Lenses
F Mao, T Huang, L Ma, X Zhang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
During minimal invasive surgery (MIS), the laparoscope only provides a single viewpoint to
the surgeon, leaving a lack of 3D perception. Many works have been proposed to obtain …
the surgeon, leaving a lack of 3D perception. Many works have been proposed to obtain …
Polyp-artifact relationship analysis using graph inductive learned representations
The diagnosis process of colorectal cancer mainly focuses on the localization and
characterization of abnormal growths in the colon tissue known as polyps. Despite recent …
characterization of abnormal growths in the colon tissue known as polyps. Despite recent …
[BOOK][B] Visual SLAM and Surface Reconstruction for Abdominal Minimally Invasive Surgery
B Lin - 2015 - search.proquest.com
Depth information of tissue surfaces and laparoscope poses are crucial for accurate surgical
guidance and navigation in Computer Assisted Surgeries (CAS). Intra-operative Three …
guidance and navigation in Computer Assisted Surgeries (CAS). Intra-operative Three …
Tissue shape acquisition with a hybrid structured light and photometric stereo endoscopic system
M Visentini-Scarzanella, T Hanayama… - Computer-Assisted and …, 2016 - Springer
In situ 3D reconstruction from endoscopic images is important to determine the correct
course of action for, eg, treatment of abnormal growths. Currently, the endoscopist has to …
course of action for, eg, treatment of abnormal growths. Currently, the endoscopist has to …
The role of artificial intelligence in cancer diagnostics-a review
P Stanicki, K Nowakowska, M Piwoński, K Żak… - Journal of Education …, 2021 - apcz.umk.pl
The role of artificial intelligence in cancer diagnostics - a review | Journal of Education, Health
and Sport Skip to main content Skip to main navigation menu Skip to site footer Start ty** …
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Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement
S Mukul, R David - 2022 - mediatum.ub.tum.de
We present a graph convolutional network (GCN)-based framework for segmentation
refinement. Considering the uncertainty analysis of a fully convolutional network, we use the …
refinement. Considering the uncertainty analysis of a fully convolutional network, we use the …