Multiwavelet grading of pathological images of prostate.
about
Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patientsHistopathological image analysis: a reviewMultimodal microscopy for automated histologic analysis of prostate cancerHigh-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.Integrated diagnostics: a conceptual framework with examples.A fully automated approach to prostate biopsy segmentation based on level-set and mean filteringHistological image classification using biologically interpretable shape-based featuresSelective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.Automated image based prominent nucleoli detectionProstate cancer detection: Fusion of cytological and textural features.Automated prostate tissue referencing for cancer detection and diagnosis.The Quantitative Criteria Based on the Fractal Dimensions, Entropy, and Lacunarity for the Spatial Distribution of Cancer Cell Nuclei Enable Identification of Low or High Aggressive Prostate Carcinomas.A Framework for 3D Vessel Analysis using Whole Slide Images of Liver Tissue Sections.Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histology.Computer-aided Prognosis of Neuroblastoma on Whole-slide Images: Classification of Stromal Development.Pathology imaging informatics for quantitative analysis of whole-slide imagesImage analysis and machine learning in digital pathology: Challenges and opportunities.Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer.Microscopic medical image classification framework via deep learning and shearlet transform.Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study.Computer-aided identification of prostatic adenocarcinoma: Segmentation of glandular structuresRemoving batch effects from histopathological images for enhanced cancer diagnosis.Computer aided analysis of prostate histopathology images Gleason grading especially for Gleason score 7.An expert support system for breast cancer diagnosis using color wavelet features.T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results.Fractal analysis and the diagnostic usefulness of silver staining nucleolar organizer regions in prostate adenocarcinoma.A Machine Learning System for Identifying Hypertrophy in Histopathology Images
P2860
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P2860
Multiwavelet grading of pathological images of prostate.
description
2003 nî lūn-bûn
@nan
2003 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Multiwavelet grading of pathological images of prostate.
@ast
Multiwavelet grading of pathological images of prostate.
@en
type
label
Multiwavelet grading of pathological images of prostate.
@ast
Multiwavelet grading of pathological images of prostate.
@en
prefLabel
Multiwavelet grading of pathological images of prostate.
@ast
Multiwavelet grading of pathological images of prostate.
@en
P356
P1476
Multiwavelet grading of pathological images of prostate.
@en
P2093
Hamid Soltanian-Zadeh
Kourosh Jafari-Khouzani
P304
P356
10.1109/TBME.2003.812194
P577
2003-06-01T00:00:00Z