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Springer; Methods in Molecular Biology 2026 : Digital Pathology - Methods and Protocols | |||||||||||||||
Link: https://easychair.org/conferences/?conf=mimb2025 | |||||||||||||||
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Call For Papers | |||||||||||||||
Call For Book Chapters: “Digital Pathology: Methods and Protocols” – Springer (Methods in Molecular Biology Series)
We are pleased to invite contributions to the forthcoming volume entitled “Digital Pathology: Methods and Protocols”, to be published by Springer Nature as part of the prestigious Methods in Molecular Biology (MiMB) series. With more than 2,900 volumes published and over 240 in preparation, MiMB is a leading series for laboratory protocols in the life sciences. For more details, please visit https://link.springer.com/series/7651 This volume aims to provide comprehensive, step-by-step methodologies at the intersection of digital pathology, computational image analysis, and translational cancer research. Topics of Interest (include but are not limited to): - Digital Pathology in Clinical Diagnostics - Digital Pathology in Cancer Research - AI and Machine Learning in Pathology - Translating Digital Pathology to Clinical Practice - Whole Slide Imaging Acquisition and Scanner Calibration - Quality Assurance in Whole Slide Imaging - Stain Normalization of Histopathology Images - Automated Quantification of Immunohistochemical Stains - Digital Cytopathology: Slide Scanning and AI-Assisted Analysis - Tissue Microarray Construction and High-Throughput Digital Analysis - Automated Tumor Region Segmentation - Quantification of Tumor-Infiltrating Lymphocytes - Multiplex Immunofluorescence for Spatial Immune Profiling - Integrating Spatial Transcriptomic Data with Histology Images - Image-Based Biomarker Discovery in Cancer - Patch Extraction and Dataset Preparation for Deep Learning - CNN Training for Histopathology Classification - Deep Learning for Semantic Segmentation of Histological Structures - Transfer Learning and Data Augmentation in Pathology - Tissue Graph Analysis with Graph Neural Networks - Unsupervised Representation Learning and Clustering of Whole Slide Images - Integrating Histopathology with Genomic Data - Standards and Data Management in Digital Pathology - Validation of AI-Based Pathology Tools Submission Information Each contributed chapter should provide a detailed laboratory or computational protocol that is routinely used, written in the standard MiMB format. Chapters will be indexed in PubMed, Web of Science, Scopus, Medline, and ScienceDirect. There are: * No publication fees * No length restrictions * Unlimited figures, tables, and color images allowed Important Dates * Chapter submission deadline: Mar 1, 2026 * Editorial decision / notification: Mar 15, 2026 * Final version due: Mar 30, 2026 Submission Guidelines Submissions should be made via EasyChair: https://easychair.org/conferences?conf=mimb2025 Sincerely, Shankai Yan (sk DOT yan AT my DOT cityu DOT edu DOT hk) https://skyan.me |
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