Rigorous recognition mode analysis of molecularly imprinted polymers—Rational design, challenges, and opportunities

Y Liu, L Wang, H Li, L Zhao, Y Ma, Y Zhang… - Progress in Polymer …, 2024 - Elsevier
Supramolecular chemistry now presents an elaborate „enabling tool “that offers exciting
opportunities for novel functional material design. One of the areas to benefit from recent …

A systematic review on acute leukemia detection using deep learning techniques

R Raina, NK Gondhi, Chaahat, D Singh, M Kaur… - … Methods in Engineering, 2023 - Springer
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an
abnormal growth of white blood cells. It is a disease that affects people all over the world …

Detection of acute promyelocytic leukemia in peripheral blood and bone marrow with annotation-free deep learning

P Manescu, P Narayanan, C Bendkowski, M Elmi… - Scientific Reports, 2023 - nature.com
While optical microscopy inspection of blood films and bone marrow aspirates by a
hematologist is a crucial step in establishing diagnosis of acute leukemia, especially in low …

Explainable AI identifies diagnostic cells of genetic AML subtypes

M Hehr, A Sadafi, C Matek, P Lienemann… - PLOS Digital …, 2023 - journals.plos.org
Explainable AI is deemed essential for clinical applications as it allows rationalizing model
predictions, helping to build trust between clinicians and automated decision support tools …

From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film

BE Fan, BSJ Yong, R Li, SSY Wang, MYN Aw, MF Chia… - Blood Reviews, 2024 - Elsevier
Artificial intelligence (AI) and its application in classification of blood cells in the peripheral
blood film is an evolving field in haematology. We performed a rapid review of the literature …

Childhood leukemia classification via information bottleneck enhanced hierarchical multi-instance learning

Z Gao, A Mao, K Wu, Y Li, L Zhao… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Leukemia classification relies on a detailed cytomorphological examination of Bone Marrow
(BM) smear. However, applying existing deep-learning methods to it is facing two significant …

Advances in AI‐based cancer cytopathology

Y Yang, S Guan, Z Ou, W Li, L Yan… - Interdisciplinary …, 2023 - Wiley Online Library
Cytopathological examination plays a crucial role in cancer diagnosis as it reflects the
cellular pathology of cancer. However, this process traditionally relies on the visual …

Pixel-level explanation of multiple instance learning models in biomedical single cell images

A Sadafi, O Adonkina, A Khakzar, P Lienemann… - … Processing in Medical …, 2023 - Springer
Explainability is a key requirement for computer-aided diagnosis systems in clinical decision-
making. Multiple instance learning with attention pooling provides instance-level …

A continual learning approach for cross-domain white blood cell classification

A Sadafi, R Salehi, A Gruber, SS Boushehri… - MICCAI Workshop on …, 2023 - Springer
Accurate classification of white blood cells in peripheral blood is essential for diagnosing
hematological diseases. Due to constantly evolving clinical settings, data sources, and …

WBCAtt: a white blood cell dataset annotated with detailed morphological attributes

S Tsutsui, W Pang, B Wen - Advances in Neural Information …, 2024 - proceedings.neurips.cc
The examination of blood samples at a microscopic level plays a fundamental role in clinical
diagnostics. For instance, an in-depth study of White Blood Cells (WBCs), a crucial …