English
Related papers

Related papers: Automatic View-Point Selection for Inter-Operative…

200 papers

Background and Aim: Over-fitting issue has been the reason behind deep learning technology not being successfully implemented in oral cancer images classification. The aims of this research were reducing overfitting for accurately producing…

Image and Video Processing · Electrical Eng. & Systems 2022-08-17 Prakrit Joshi , Omar Hisham Alsadoon , Abeer Alsadoon , Nada AlSallami , Tarik A. Rashid , P. W. C. Prasad , Sami Haddad

Squamous Cell Carcinoma (SCC) is the most common cancer type of the epithelium and is often detected at a late stage. Besides invasive diagnosis of SCC by means of biopsy and histo-pathologic assessment, Confocal Laser Endomicroscopy (CLE)…

Computer Vision and Pattern Recognition · Computer Science 2020-01-06 Marc Aubreville , Miguel Goncalves , Christian Knipfer , Nicolai Oetter , Helmut Neumann , Florian Stelzle , Christopher Bohr , Andreas Maier

Intraoperative ultrasound facilitates localisation of tumour boundaries during minimally invasive procedures. Autonomous ultrasound scanning systems have been recently proposed to improve scanning accuracy and reduce surgeons' cognitive…

Robotics · Computer Science 2018-03-19 Lin Zhang , Menglong Ye , Stamatia Giannarou , Philip Pratt , Guang-Zhong Yang

Automatic organ segmentation is an important yet challenging problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability. This inhibits previous segmentation methods from achieving high…

Computer Vision and Pattern Recognition · Computer Science 2015-06-23 Holger R. Roth , Le Lu , Amal Farag , Hoo-Chang Shin , Jiamin Liu , Evrim Turkbey , Ronald M. Summers

Visual Place Recognition is a task that aims to predict the place of an image (called query) based solely on its visual features. This is typically done through image retrieval, where the query is matched to the most similar images from a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Gabriele Berton , Gabriele Trivigno , Barbara Caputo , Carlo Masone

Purpose: Surgical scene understanding plays a critical role in the technology stack of tomorrow's intervention-assisting systems in endoscopic surgeries. For this, tracking the endoscope pose is a key component, but remains challenging due…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Michel Hayoz , Christopher Hahne , Mathias Gallardo , Daniel Candinas , Thomas Kurmann , Maximilian Allan , Raphael Sznitman

Endoscopy plays a major role in identifying any underlying abnormalities within the gastrointestinal (GI) tract. There are multiple GI tract diseases that are life-threatening, such as precancerous lesions and other intestinal cancers. In…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Harshala Gammulle , Yubo Chen , Sridha Sridharan , Travis Klein , Clinton Fookes

Endomicroscopy is indispensable for minimally invasive diagnostics in clinical practice. For optical keyhole monitoring of surgical interventions, high-resolution fiber endoscopic imaging is considered to be very promising, especially in…

Video capsule endoscopy has become increasingly important for investigating the small intestine within the gastrointestinal tract. However, a persistent challenge remains the short battery lifetime of such compact sensor edge devices.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Julia Werner , Oliver Bause , Julius Oexle , Maxime Le Floch , Franz Brinkmann , Jochen Hampe , Oliver Bringmann

Endoscopic procedures such as esophagogastroduodenoscopy (EGD) and colonoscopy play a critical role in diagnosing and managing gastrointestinal (GI) disorders. However, the documentation burden associated with these procedures place…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Evandros Kaklamanos , Kristjana Kristinsdottir , Jonathan Huang , Dustin Carlson , Rajesh Keswani , John Pandolfino , Mozziyar Etemadi

Prevalence of gastrointestinal (GI) cancer is growing alarmingly every year leading to a substantial increase in the mortality rate. Endoscopic detection is providing crucial diagnostic support, however, subtle lesions in upper and lower GI…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Pedro E. Chavarrias-Solanon , Mansoor Ali-Teevno , Gilberto Ochoa-Ruiz , Sharib Ali

Polyp has long been considered as one of the major etiologies to colorectal cancer which is a fatal disease around the world, thus early detection and recognition of polyps plays a crucial role in clinical routines. Accurate diagnoses of…

Tissues and Organs · Quantitative Biology 2018-09-06 Xi Mo , Ke Tao , Quan Wang , Guanghui Wang

Clinical target volume (CTV) delineation from radiotherapy computed tomography (RTCT) images is used to define the treatment areas containing the gross tumor volume (GTV) and/or sub-clinical malignant disease for radiotherapy (RT). High…

Image and Video Processing · Electrical Eng. & Systems 2019-09-09 Dakai Jin , Dazhou Guo , Tsung-Ying Ho , Adam P. Harrison , Jing Xiao , Chen-kan Tseng , Le Lu

The introduction of neuroendoscopy, microneurosurgery, neuronavigation, and intraoperative imaging for surgical operations has made significant improvements over other traditionally invasive surgical techniques. The integration of magnetic…

Systems and Control · Electrical Eng. & Systems 2022-09-20 Martin Francis Phelan , Nihal Olcay Dogan , Jelena Lazovic , Metin Sitti

Accurate visual re-localization is very critical to many artificial intelligence applications, such as augmented reality, virtual reality, robotics and autonomous driving. To accomplish this task, we propose an integrated visual…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Yuhao Zhou , Huanhuan Fan , Shuang Gao , Yuchen Yang , Xudong Zhang , Jijunnan Li , Yandong Guo

Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the main surgeon to rely on a second surgeon to act as a camera assistant. In addition to the burden of excessively involving surgical staff, this may…

Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical treatment. While the endoscopy video contains a wealth of information, tools to capture this information for the purpose of clinical reporting…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Sharib Ali , Jens Rittscher

Breast cancer is the most common malignancy in women. Mammographic findings such as microcalcifications and masses, as well as morphologic features of masses in sonographic scans, are the main diagnostic targets for tumor detection.…

Computer Vision and Pattern Recognition · Computer Science 2021-07-13 Or Bar-Shira , Ahuva Grubstein , Yael Rapson , Dror Suhami , Eli Atar , Keren Peri-Hanania , Ronnie Rosen , Yonina C. Eldar

An abdominal ultrasound examination, which is the most common ultrasound examination, requires substantial manual efforts to acquire standard abdominal organ views, annotate the views in texts, and record clinically relevant organ…

Computer Vision and Pattern Recognition · Computer Science 2018-06-06 Zhoubing Xu , Yuankai Huo , JinHyeong Park , Bennett Landman , Andy Milkowski , Sasa Grbic , Shaohua Zhou

Traditional diagnostic methods like colonoscopy are invasive yet critical tools necessary for accurately diagnosing colorectal cancer (CRC). Detection of CRC at early stages is crucial for increasing patient survival rates. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Xinliu Zhong , Leo Hwa Liang , Angela S. Koh , Yeo Si Yong