AIMC Topic: Biopsy

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Force adaptive robotically assisted endomicroscopy for intraoperative tumour identification.

International journal of computer assisted radiology and surgery
PURPOSE: For effective tumour margin definition for cancer surgery, there is an increasing demand for the development of real-time intraoperative tissue biopsy techniques. Recent advances in miniaturized biophotonics probes have permitted the develop...

Automated colon cancer detection using hybrid of novel geometric features and some traditional features.

Computers in biology and medicine
Automatic classification of colon into normal and malignant classes is complex due to numerous factors including similar colors in different biological constituents of histopathological imagery. Therefore, such techniques, which exploit the textural ...

First use of a computer-assisted operator-controlled flexible endoscope for transoral surgery.

The Laryngoscope
Transoral robotic surgery (TORS) has become an accepted treatment option for head and neck cancer. However, anatomical limitations and a relevant financial burden require alternative developments in this field. To this end, a patient presenting with ...

Deep learning model for automated detection of Helicobacter pylori and intestinal metaplasia on gastric biopsy digital whole slide images.

American journal of clinical pathology
OBJECTIVE: To develop an automated detection tool for Helicobacter pylori (HP) microorganisms (HPOrg) and intestinal metaplasia (IM) identification on gastric biopsy specimens on hematoxylin and eosin (H&E) whole-slide images (WSIs), incorporating ba...

Can polycythaemia vera disease be predicted from haematologic parameters? A machine learning-based study.

Journal of clinical pathology
AIMS: The aim of this research is to diagnose polycythaemia vera (PV) disease using different machine learning (ML) algorithms with complete blood count (CBC) parameters before further investigations such as Janus kinase 2 (), erythropoietin (EPO) an...

Development of AI Based Fibrosis Detection Algorithm by SHG/TPEF Microscopy for Fully Quantified Liver Fibrosis Assessment in MASH.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major global cause of chronic liver disease, with the potential to progress from steatosis to metabolic dysfunction-associated steatohepatitis (MASH) and cirrh...

Deep learning for giant cell arteritis diagnosis on temporal artery biopsy.

Computers in biology and medicine
OBJECTIVES: Giant Cell Arteritis (GCA) is a vasculitis affecting large and medium-caliber arteries, requiring early and accurate diagnosis to prevent serious complications. Temporal artery biopsy (TAB) is the gold standard for histopathological diagn...

The Silent Transformation of Stereotactic Brain Biopsies After the Introduction of Robotics.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In frame-based stereotaxy, the design of the frame limits trajectory selection, e.g., to the temporal lobe and posterior fossa. We hypothesise that frame-less neuronavigation and robotic technology might have expanded these stereotactic c...

Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis.

Kidney international
BACKGROUND: Visual scoring of tubular damage has limitations in capturing the full spectrum of structural changes and prognostic potential. Here, we investigated if computationally quantified tubular features can enhance prognostication and reveal sp...