Breast cancer detection, segmentation and classification on histopathology images analysis: a systematic review

R Krithiga, P Geetha - Archives of Computational Methods in Engineering, 2021 - Springer
Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …

Similarity-based queries for time series data

D Rafiei, A Mendelzon - Proceedings of the 1997 ACM SIGMOD …, 1997 - dl.acm.org
We study a set of linear transformations on the Fourier series representation of a sequence
that can be used as the basis for similarity queries on time-series data. We show that our set …

Cell-graphs: image-driven modeling of structure-function relationship

B Yener - Communications of the ACM, 2016 - dl.acm.org
Cell-graphs: image-driven modeling of structure-function relationship Page 1 74
COMMUNICATIONS OF THE ACM | JANUARY 2017 | VOL. 60 | NO. 1 review articles THE …

Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association

H Chang, J Han, A Borowsky, L Loss… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Automated analysis of whole mount tissue sections can provide insights into tumor subtypes
and the underlying molecular basis of neoplasm. However, since tumor sections are …

Stacked predictive sparse decomposition for classification of histology sections

H Chang, Y Zhou, A Borowsky, K Barner… - International journal of …, 2015 - Springer
Image-based classification of histology sections, in terms of distinct components (eg, tumor,
stroma, normal), provides a series of indices for histology composition (eg, the percentage of …

Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer

TB Fisher, G Saini, TS Rekha, J Krishnamurthy… - Breast Cancer …, 2024 - Springer
Background Pathological complete response (pCR) is associated with favorable prognosis
in patients with triple-negative breast cancer (TNBC). However, only 30–40% of TNBC …

Stacked predictive sparse coding for classification of distinct regions in tumor histopathology

H Chang, Y Zhou, P Spellman… - Proceedings of the IEEE …, 2013 - cv-foundation.org
Image-based classification of histology sections, in terms of distinct components (eg, tumor,
stroma, normal), provides a series of indices for tumor composition. Furthermore …

LIM kinase regulation of cytoskeletal dynamics is required for salivary gland branching morphogenesis

S Ray, JA Fanti, DP Macedo… - Molecular Biology of the …, 2014 - Am Soc Cell Biol
Coordinated actin microfilament and microtubule dynamics is required for salivary gland
development, although the mechanisms by which they contribute to branching …

Seizure prediction by graph mining, transfer learning, and transformation learning

N Dhulekar, S Nambirajan, B Oztan, B Yener - Machine Learning and …, 2015 - Springer
We present in this study a novel approach to predicting EEG epileptic seizures: we
accurately model and predict non-ictal cortical activity and use prediction errors as …

Cell-based multi-parametric model of cleft progression during submandibular salivary gland branching morphogenesis

S Ray, D Yuan, N Dhulekar, B Oztan… - PLoS Computational …, 2013 - journals.plos.org
Cleft formation during submandibular salivary gland branching morphogenesis is the critical
step initiating the growth and development of the complex adult organ. Previous …