cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels

DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation

(2023) Qing Xu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Multiple myeloma: 2022 update on diagnosis, risk stratification, and management

(2022) S. Vincent Rajkumar   AMERICAN JOURNAL OF HEMATOLOGY

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images

(2022) Anubha Gupta et al.   MEDICAL IMAGE ANALYSIS

Automated assessment of glomerulosclerosis and tubular atrophy using deep learning

(2021) Massimo Salvi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images

(2020) Anubha Gupta et al.   MEDICAL IMAGE ANALYSIS

Karpinski Score under Digital Investigation: A Fully Automated Segmentation Algorithm to Identify Vascular and Stromal Injury of Donors’ Kidneys

(2020) Massimo Salvi et al.   Electronics

PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma

(2018) Anubha Gupta et al.   PLoS One

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

(2017) Neeraj Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic recognition of myeloma cells in microscopic images using bottleneck algorithm, modified watershed and SVM classifier

(2016) Z. SAEEDIZADEH et al.   JOURNAL OF MICROSCOPY

A Spatially Variant White-Patch and Gray-World Method for Color Image Enhancement Driven by Local Contrast

(2008) E. Provenzi et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE