Related references
Note: Only part of the references are listed.Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network
Y. Q. Jiang et al.
BRITISH JOURNAL OF DERMATOLOGY (2020)
Region-based Fitting of Overlapping Ellipses and its application to cells segmentation
Costas Panagiotakis et al.
IMAGE AND VISION COMPUTING (2020)
Tertiary lymphoid structures improve immunotherapy and survival in melanoma
Rita Cabrita et al.
NATURE (2020)
Tertiary lymphoid structures in cancer - considerations for patient prognosis
Luis Munoz-Erazo et al.
CELLULAR & MOLECULAR IMMUNOLOGY (2020)
Semi-Supervised Nests of Melanocytes Segmentation Method Using Convolutional Autoencoders
Dariusz Kucharski et al.
SENSORS (2020)
Test-time augmentation for deep learning-based cell segmentation on microscopy images
Nikita Moshkov et al.
SCIENTIFIC REPORTS (2020)
Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections
Nicola Altini et al.
ELECTRONICS (2020)
CANCER SENSITIVE CASCADED NETWORKS (CSC-NET) FOR EFFICIENT HISTOPATHOLOGY WHOLE SLIDE IMAGE SEGMENTATION
Shujiao Sun et al.
2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020) (2020)
Deep-Learning-Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data
Zixiao Lu et al.
JCO CLINICAL CANCER INFORMATICS (2020)
Watershed Algorithm for Medical Image Segmentation Based on Morphology and Total Variation Model
Yingbo Liang et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2019)
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks
Tao Wan et al.
NEUROCOMPUTING (2019)
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk et al.
NATURE METHODS (2019)
Tertiary lymphoid structures in the era of cancer immunotherapy
Catherine Sautes-Fridman et al.
NATURE REVIEWS CANCER (2019)
Automated brain tumor segmentation on multi-modal MR image using SegNet
Salma Alqazzaz et al.
COMPUTATIONAL VISUAL MEDIA (2019)
Maturation of tertiary lymphoid structures and recurrence of stage II and III colorectal cancer
Florian Posch et al.
ONCOIMMUNOLOGY (2018)
Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells
Afaf Tareef et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
A deep learning-based algorithm for 2-D cell segmentation in microscopy images
Yousef Al-Kofahi et al.
BMC BIOINFORMATICS (2018)
Germinal Centers Determine the Prognostic Relevance of Tertiary Lymphoid Structures and Are Impaired by Corticosteroids in Lung Squamous Cell Carcinoma
Karina Silina et al.
CANCER RESEARCH (2018)
Automated detection and classification of nuclei in PAX5 and H&E-stained tissue sections of follicular lymphoma
Kosmas Dimitropoulos et al.
SIGNAL IMAGE AND VIDEO PROCESSING (2017)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Integrating machine learning with region-based active contour models in medical image segmentation
Agus Pratondo et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2017)
Grading of invasive breast carcinoma through Grassmannian VLAD encoding
Kosmas Dimitropoulos et al.
PLOS ONE (2017)
Tertiary lymphoid structures, drivers of the anti-tumor responses in human cancers
Marie-Caroline Dieu-Nosjean et al.
IMMUNOLOGICAL REVIEWS (2016)
Automatic segmentation for cell images based on bottleneck detection and ellipse fitting
Miao Liao et al.
NEUROCOMPUTING (2016)
Tertiary Lymphoid Structures in Cancers: Prognostic Value, Regulation, and Manipulation for Therapeutic Intervention
Catherine Sautes-Fridman et al.
FRONTIERS IN IMMUNOLOGY (2016)
Ellipsoid Segmentation Model for Analyzing Light-Attenuated 3D Confocal Image Stacks of Fluorescent Multi-Cellular Spheroids
Michael Barbier et al.
PLOS ONE (2016)
Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours
Csaba Molnar et al.
SCIENTIFIC REPORTS (2016)
Medical Image Segmentation Based on the Watersheds and Regions Merging
Huang Zhanpeng et al.
2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE) (2016)
Active contours driven by local likelihood image fitting energy for image segmentation
Zexuan Ji et al.
INFORMATION SCIENCES (2015)
The 2015 World Health Organization Classification of Lung Tumors Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification
William D. Travis et al.
JOURNAL OF THORACIC ONCOLOGY (2015)
Tertiary lymphoid structures in cancer and beyond
Marie-Caroline Dieu-Nosjean et al.
TRENDS IN IMMUNOLOGY (2014)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
Active contours driven by local Gaussian distribution fitting energy
Li Wang et al.
SIGNAL PROCESSING (2009)
Extramural cancer deposits without nodal structure in colorectal cancer - Optimal categorization for prognostic staging
Hideki Ueno et al.
AMERICAN JOURNAL OF CLINICAL PATHOLOGY (2007)