[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 …

Video‐based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey

B Lin, Y Sun, X Qian, D Goldgof… - … International Journal of …, 2016 - Wiley Online Library
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 …

[HTML][HTML] Designing a Hybrid Method of Artificial Neural Network and Particle Swarm Optimization to Diagnosis Polyps from Colorectal CT Images

HB Harchegani, H Moghaddasi - International Journal of …, 2024 - journals.lww.com
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 …

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 …

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 …

Polyp-artifact relationship analysis using graph inductive learned representations

RD Soberanis-Mukul, S Albarqouni… - arxiv preprint arxiv …, 2020 - arxiv.org
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 …

[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 …

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 …

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
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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 …