[HTML][HTML] Machine learning aided photonic diagnostic system for minimally invasive optically guided surgery in the hepatoduodenal area
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 …
diagnosed at a late stage. Although the cancer death rates have in general declined over …
Towards an optical biopsy during visceral surgical interventions
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 …
death. Therefore, the goals of cancer treatment are prevention strategies and early detection …
[HTML][HTML] The LMIT: Light-mediated minimally-invasive theranostics in oncology
Minimally-invasive diagnosis and therapy have gradually become the trend and research
hotspot of current medical applications. The integration of intraoperative diagnosis and …
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
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 …
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 …
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 …
Currently, colorectal cancer (CRC) is mainly identified via a visual assessment during
colonoscopy, increasingly used artificial intelligence algorithms, or surgery. Subsequently …
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 …
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 …
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 …
oncological surgical or endoscopic procedures. This relies on visual assessment supported …
Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning
In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is
crucial for determining prognosis and treatment strategy decisions. However, a label‐free …
crucial for determining prognosis and treatment strategy decisions. However, a label‐free …