[HTML][HTML] Machine learning aided photonic diagnostic system for minimally invasive optically guided surgery in the hepatoduodenal area

E Zherebtsov, M Zajnulina, K Kandurova, E Potapova… - Diagnostics, 2020 - mdpi.com
Abdominal cancer is a widely prevalent group of tumours with a high level of mortality if
diagnosed at a late stage. Although the cancer death rates have in general declined over …

Towards an optical biopsy during visceral surgical interventions

DB Ellebrecht, S Latus, A Schlaefer, T Keck… - Visceral …, 2020 - karger.com
Background: Cancer will replace cardiovascular diseases as the most frequent cause of
death. Therefore, the goals of cancer treatment are prevention strategies and early detection …

[HTML][HTML] The LMIT: Light-mediated minimally-invasive theranostics in oncology

Y Fan, S Liu, E Gao, R Guo, G Dong, Y Li, T Gao… - Theranostics, 2024 - ncbi.nlm.nih.gov
Minimally-invasive diagnosis and therapy have gradually become the trend and research
hotspot of current medical applications. The integration of intraoperative diagnosis and …

[HTML][HTML] Multimodal optical analysis discriminates freshly extracted human sample of gliomas, metastases and meningiomas from their appropriate controls

M Zanello, F Poulon, J Pallud, P Varlet, H Hamzeh… - Scientific Reports, 2017 - nature.com
Delineating tumor margins as accurately as possible is of primordial importance in surgical
oncology: extent of resection is associated with survival but respect of healthy surrounding …

Transfer learning based feature extraction with metaheuristic optimization algorithm for detecting gastric cancer using optoelectronic sensor in endoscope

S Famila, A Arulmurugan, A Mahendar… - Optical and Quantum …, 2024 - Springer
The most common method for diagnosing and treating gastrointestinal (GI) malignancies is
optical endoscopy. Precancerous lesions account for most of the gastrointestinal neoplasms …

[PDF][PDF] Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy. Cancers …

B Jansen-Winkeln, M Barberio, C Chalopin, K Schierle… - 2021 - academia.edu
Currently, colorectal cancer (CRC) is mainly identified via a visual assessment during
colonoscopy, increasingly used artificial intelligence algorithms, or surgery. Subsequently …

Application of the fluorescence spectroscopy for the analysis of the state of abdominal cavity organs tissues in mini-invasive surgery

K Kandurova, VV Dremin… - … Solutions for Better …, 2018 - spiedigitallibrary.org
At present, minimally invasive interventions become more widespread for treating
hepatopancreatoduodenal area pathologies. However, new methods and approaches are …

Combined autofluorescence and diffuse reflectance for brain tumour surgical guidance: initial ex vivo study results

H Lu, K Grygoryev, N Bermingham… - Biomedical Optics …, 2021 - opg.optica.org
This ex vivo study was conducted to assess the potential of using a fibre optic probe system
based on autofluorescence and diffuse reflectance for tissue differentiation in the brain. A …

Automatic optical biopsy for colorectal cancer using hyperspectral imaging and artificial neural networks

T Collins, V Bencteux, S Benedicenti, V Moretti… - Surgical …, 2022 - Springer
Background Intraoperative identification of cancerous tissue is fundamental during
oncological surgical or endoscopic procedures. This relies on visual assessment supported …

Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning

H Lin, C Wei, G Wang, H Chen, L Lin, M Ni… - Journal of …, 2019 - Wiley Online Library
In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is
crucial for determining prognosis and treatment strategy decisions. However, a label‐free …