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Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence technology undergoing assessment for applications in brain tumor surgery. Despite its promising potential, interpreting the unfamiliar gray tone images of fluorescent…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Mohammadhassan Izadyyazdanabadi , Evgenii Belykh , Michael Mooney , Nikolay Martirosyan , Jennifer Eschbacher , Peter Nakaji , Mark C. Preul , Yezhou Yang

Confocal laser endomicroscopy (CLE), although capable of obtaining images at cellular resolution during surgery of brain tumors in real time, creates as many non-diagnostic as diagnostic images. Non-useful images are often distorted due to…

Computer Vision and Pattern Recognition · Computer Science 2018-01-09 Mohammadhassan Izadyyazdanabadi , Evgenii Belykh , Nikolay Martirosyan , Jennifer Eschbacher , Peter Nakaji , Yezhou Yang , Mark C. Preul

Confocal Laser Endomicroscope (CLE) is a novel handheld fluorescence imaging device that has shown promise for rapid intraoperative diagnosis of brain tumor tissue. Currently CLE is capable of image display only and lacks an automatic…

The surgical removal of head and neck tumors requires safe margins, which are usually confirmed intraoperatively by means of frozen sections. This method is, in itself, an oversampling procedure, which has a relatively low sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Marc Aubreville , Zhaoya Pan , Matti Sievert , Jonas Ammeling , Jonathan Ganz , Nicolai Oetter , Florian Stelzle , Ann-Kathrin Frenken , Katharina Breininger , Miguel Goncalves

Confocal laser endomicroscopy (CLE) is a novel imaging modality that provides in vivo histological cross-sections of examined tissue. Recently, attempts have been made to develop miniaturized in vivo imaging devices, specifically confocal…

Computer Vision and Pattern Recognition · Computer Science 2018-06-22 Saeed Izadi , Kathleen P. Moriarty , Ghassan Hamarneh

Confocal Laser Endomicroscopy (CLE), an optical imaging technique allowing non-invasive examination of the mucosa on a (sub)cellular level, has proven to be a valuable diagnostic tool in gastroenterology and shows promising results in…

Computer Vision and Pattern Recognition · Computer Science 2018-05-07 Maike P. Stoeve , Marc Aubreville , Nicolai Oetter , Christian Knipfer , Helmut Neumann , Florian Stelzle , Andreas Maier

Deep learning technologies such as convolutional neural networks (CNN) provide powerful methods for image recognition and have recently been employed in the field of automated carcinoma detection in confocal laser endomicroscopy (CLE)…

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

Confocal laser endomicroscopy (CLE) allow on-the-fly in vivo intraoperative imaging in a discreet field of view, especially for brain tumors, rather than extracting tissue for examination ex vivo with conventional light microscopy.…

Confocal laser endomicroscopy (CLE) is a non-invasive, real-time imaging modality that can be used for in-situ, in-vivo imaging and the microstructural analysis of mucous structures. The diagnosis using CLE is, however, complicated by…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Nils Porsche , Flurin Müller-Diesing , Sweta Banerjee , Miguel Goncalves , Marc Aubreville

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

Purpose: Probe-based Confocal Laser Endomicroscopy (pCLE) is a recent imaging modality that allows performing in vivo optical biopsies. The design of pCLE hardware, and its reliance on an optical fibre bundle, fundamentally limits the image…

Computer Vision and Pattern Recognition · Computer Science 2018-04-25 Daniele Ravì , Agnieszka Barbara Szczotka , Dzhoshkun Ismail Shakir , Stephen P Pereira , Tom Vercauteren

Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed…

Computer Vision and Pattern Recognition · Computer Science 2017-09-21 Marc Aubreville , Christian Knipfer , Nicolai Oetter , Christian Jaremenko , Erik Rodner , Joachim Denzler , Christopher Bohr , Helmut Neumann , Florian Stelzle , Andreas Maier

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

We present a physics-informed deep learning framework to address common limitations in Confocal Laser Scanning Microscopy (CLSM), such as diffraction limited resolution, noise, and undersampling due to low laser power conditions. The…

Materials Science · Physics 2025-01-27 Zaheer Ahmad , Junaid Shabeer , Usman Saleem , Tahir Qadeer , Abdul Sami , Zahira El Khalidi , Saad Mehmood

Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for a growing variety of applications. However, the paucity of medical imaging data with high-quality annotations that is necessary for…

Computer Vision and Pattern Recognition · Computer Science 2018-10-02 Faisal Mahmood , Richard Chen , Sandra Sudarsky , Daphne Yu , Nicholas J. Durr

Histological evaluation of tissue samples is a typical approach to identify colorectal cancer metastases in the peritoneum. For immediate assessment, reliable and real-time in-vivo imaging would be required. For example, intraoperative…

Computer Vision and Pattern Recognition · Computer Science 2019-03-07 Nils Gessert , Lukas Wittig , Daniel Drömann , Tobias Keck , Alexander Schlaefer , David B. Ellebrecht

Confocal and multi-photon microscopy are widely used for in-vivo fluorescence imaging of biological tissues such as the brain, offering non-invasive access up to ~1 mm depth without major loss in performance. A recently-developed…

Purpose: Probe-based Confocal Laser Endomicroscopy (pCLE) enables performing an optical biopsy, providing real-time microscopic images, via a probe. pCLE probes consist of multiple optical fibres arranged in a bundle, which taken together…

Image and Video Processing · Electrical Eng. & Systems 2020-08-20 Agnieszka Barbara Szczotka , Dzhoshkun Ismail Shakir , DanieleRavi , Matthew J. Clarkson , Stephen P. Pereira , Tom Vercauteren

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

In this study, a radiomics approach was extended to optical fluorescence molecular imaging data for tissue classification, termed 'optomics'. Fluorescence molecular imaging is emerging for precise surgical guidance during head and neck…

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