William V. Stoecker

Orcid: 0000-0003-4863-3483

According to our database1, William V. Stoecker authored at least 45 papers between 1990 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Skin Lesion Segmentation in Dermoscopic Images with Noisy Data.
J. Digit. Imaging, August, 2023

ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images.
J. Digit. Imaging, April, 2023

Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion.
CoRR, 2023

2022
Deep learning-based dot and globule segmentation with pixel and blob-based metrics for evaluation.
Intell. Syst. Appl., 2022

2020
Feature based Sequential Classifier with Attention Mechanism.
CoRR, 2020

2019
Biologically Inspired QuadTree Color Detection in Dermoscopy Images of Melanoma.
IEEE J. Biomed. Health Informatics, 2019

Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images.
IEEE J. Biomed. Health Informatics, 2019

A Hybrid Deep Learning and Handcrafted Feature Approach for Cervical Cancer Digital Histology Image Classification.
Int. J. Heal. Inf. Syst. Informatics, 2019

2017
Adaptable Ring for Vision-Based Measurements and Shape Analysis.
IEEE Trans. Instrum. Meas., 2017

Fuzzy Color Clustering for Melanoma Diagnosis in Dermoscopy Images.
Inf., 2017

Real-world Pill Segmentation based on Superpixel Merge using Region Adjacency Graph.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Medical Image Processing in the Age of Deep Learning - Is There Still Room for Conventional Medical Image Processing Techniques?.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Color Feature-based Pillbox Image Color Recognition.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Nuclei Segmentation using a Level Set Active Contour Method and Spatial Fuzzy C-means Clustering.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

2016
Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis With Fusion-Based Classification.
IEEE J. Biomed. Health Informatics, 2016

2015
Automatic detection and segmentation of vascular structures in dermoscopy images using a novel vesselness measure based on pixel redness and tubularness.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Fuzzy logic color detection: Blue areas in melanoma dermoscopy images.
Comput. Medical Imaging Graph., 2014

2013
Template Matching for Detection of Starry Milia-Like Cysts in Dermoscopic Images.
Proceedings of the VISAPP 2013, 2013

Automatic Detection of Skin Cancer - Current Status, Path for the Future.
Proceedings of the VISAPP 2013, 2013

Automatic Pill Identification from Pillbox Images.
Proceedings of the VISAPP 2013, 2013

The Median Split Algorithm for Detection of Critical Melanoma Color Features.
Proceedings of the VISAPP 2013, 2013

2012
Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas in Melanoma In Situ Images.
IEEE Trans. Instrum. Meas., 2012

Discrimination of squamous cell carcinoma in situ from seborrheic keratosis by color analysis techniques requires information from scale, scale-crust and surrounding areas in dermoscopy images.
Comput. Biol. Medicine, 2012

2011
Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images.
Comput. Medical Imaging Graph., 2011

Detection of granularity in dermoscopy images of malignant melanoma using color and texture features.
Comput. Medical Imaging Graph., 2011

Concentric decile segmentation of white and hypopigmented areas in dermoscopy images of skin lesions allows discrimination of malignant melanoma.
Comput. Medical Imaging Graph., 2011

Advances in skin cancer image analysis.
Comput. Medical Imaging Graph., 2011

2010
Approximate Lesion Localization in Dermoscopy Images
CoRR, 2010

An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images
CoRR, 2010

2009
Fuzzy logic techniques for blotch feature evaluation in dermoscopy images.
Comput. Medical Imaging Graph., 2009

Lesion border detection in dermoscopy images.
Comput. Medical Imaging Graph., 2009

Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods.
Proceedings of the Advances in Image and Video Technology, Third Pacific Rim Symposium, 2009

2008
Independent Histogram Pursuit for Segmentation of Skin Lesions.
IEEE Trans. Biomed. Eng., 2008

Automatic detection of blue-white veil and related structures in dermoscopy images.
Comput. Medical Imaging Graph., 2008

2007
A methodological approach to the classification of dermoscopy images.
Comput. Medical Imaging Graph., 2007

Fast and accurate border detection in dermoscopy images using statistical region merging.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006
Microwave reflectometry as a novel diagnostic tool for detection of skin cancers.
IEEE Trans. Instrum. Meas., 2006

Detection of blue-white veil areas in dermoscopy images using machine learning techniques.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

2004
Detection of basal cell carcinoma using electrical impedance and neural networks.
IEEE Trans. Biomed. Eng., 2004

2003
Differentiation among basal cell carcinoma, benign lesions, and normal skin using electric impedance.
IEEE Trans. Biomed. Eng., 2003

2001
A Novel Morphological Operator to Calculate Euler Number.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001

2000
Border Detection on Digitized Skin Tumor Images.
IEEE Trans. Medical Imaging, 2000

1993
Detection of skin tumor boundaries in color images.
IEEE Trans. Medical Imaging, 1993

1990
Boundary detection in skin tumor images: An overall approach and a radial search algorithm.
Pattern Recognit., 1990


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