Results 71 to 80 of about 555,997 (285)

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Dermal type I collagen assessment by digital image analysis [PDF]

Anais Brasileiros de Dermatologia, 2015
Type I collagen is the main dermal component, and its evaluation is relevant to quantitative studies in dermatopathology. However, visual gradation (0 to 4+) has low precision and high subjectivity levels.
Gabrielli Brianezi, Fabrizio Grandi, Ediléia Bagatin, Mílvia Maria S. S. Enokihara, Hélio Amante Miot   +4 more
doaj   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

From image-guided surgery to surgeOmics: Facing the era of intelligent automation and robotics

International Journal of Gastrointestinal Intervention, 2019
Digital images do not represent anatomy, they are just a reliable translation from a full-colored and three-dimensional physical world to a grayscale and two dimensions image domain.
Juan Manuel Verde, Mariano E. Giménez
doaj   +1 more source

Removing defocused objects from single focal plane scans of cytological slides

Journal of Pathology Informatics, 2016
Background: Virtual microscopy and automated processing of cytological slides are more challenging compared to histological slides. Since cytological slides exhibit a three-dimensional surface and the required microscope objectives with high resolution ...
David Friedrich, Alfred Böcking, Dietrich Meyer-Ebrecht, Dorit Merhof   +3 more
doaj   +1 more source

Implementation of ILLIAC 4 algorithms for multispectral image interpretation [PDF]

Research has focused on the design and partial implementation of a comprehensive ILLIAC software system for computer-assisted interpretation of multispectral earth resources data such as that now collected by the Earth Resources Technology Satellite ...
Donovan, W. E., Ray, R. M., Swain, P. H., Thomas, J. D.   +3 more
core   +1 more source

Vision-aided Monitoring and Control of Thermal Spray, Spray Forming, and Welding Processes [PDF]

, 1993
Vision is one of the most powerful forms of non-contact sensing for monitoring and control of manufacturing processes. However, processes involving an arc plasma or flame such as welding or thermal spraying pose particularly challenging problems to ...
Agapakis, John E., Bolstad, Jon
core   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Automatic Apparent Nasal Index from Single Facial Photographs Using a Lightweight Deep Learning Pipeline: A Pilot Study

Medicina
Background and Objectives: Quantifying nasal proportions is central to facial plastic and reconstructive surgery, yet manual measurements are time-consuming and variable.
Babak Saravi, Lara Schorn, Julian Lommen, Max Wilkat, Andreas Vollmer, Hamza Eren Güzel, Michael Vollmer, Felix Schrader, Christoph K. Sproll, Norbert R. Kübler, Daman D. Singh   +10 more
doaj   +1 more source

Digital mammography, cancer screening: Factors important for image compression [PDF]

The use of digital mammography for breast cancer screening poses several novel problems such as development of digital sensors, computer assisted diagnosis (CAD) methods for image noise suppression, enhancement, and pattern recognition, compression ...
Blaine, G. James, Brown, G. Stephen, Clarke, Laurence P., Doi, Kunio, Kallergi, Maria, Shtern, Faina, Winfield, Daniel L., Yaffe, Martin J.   +7 more
core   +1 more source