Search Results - "cancers"
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Inhibition of oxidative stress of Biancaea sappan (L) Tod. from Java
Subjects: “…anti-colorectal cancer…”
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Functional Nanomaterials: Applications in Medicine and Life Sciences
Table of Contents: “…Frontmatter -- Contents -- 1 Introduction -- 2 Biology of cancer -- 3 Biocompatible nanomaterials -- 4 Cell response on nanoparticles -- 5 Pharmacokinetics, pharmacodynamics, and nanotoxicology -- 6 Nanoparticles for diagnostics and therapy of cancer -- Bibliography -- Index…”De Gruyter [2025]
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Unveiling the complexity of colorectal cancer heterogeneity from clonal evolution to cancer stem cells
14 Feb. 2025
- Resolving-System, kostenfrei
- Resolving-System, kostenfrei
- Verlag, kostenfrei, Volltext
- Resolving-System, kostenfrei
- Langzeitarchivierung Nationalbibliothek, kostenfrei
Book/Monograph Thesis Online Resource -
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Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care: First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marr...
Table of Contents: “…Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis.- HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging.- DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-Modal Organ and Lesion Segmentation.- One for All: UNET Training on Single-Sequence Masks for Multi-Sequence Breast MRI Segmentation.- Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model.- Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data.- Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models.- Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification.- Virtual dynamic contrast enhanced breast MRI using 2D U-Net.- Optimizing BI-RADS 4 Lesion Assessment using Lightweight Convolutional Neural Network with CBAM in Contrast Enhanced Mammography.- Mammographic Breast Positioning Assessment via Deep Learning.- Endpoint Detection in Breast Images for Automatic Classification of Breast Cancer Aesthetic Results.- Thick Slices for Optimal Digital Breast Tomosynthesis Classification with Deep-Learning.- Predicting Aesthetic Outcomes in Breast Cancer Surgery: a Multimodal Retrieval Approach.- Vision Mamba for Classification of Breast Ultrasound Images.- Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers.- Graph Neural Networks for modelling breast biomechanical compression.- A generative adversarial approach to remove Moiré artifacts in Dark-field and Phase-contrast x-ray images.- MRI Breast tissue segmentation using nnUNet for Biomechanical modeling.- Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation.- Guiding Breast Conservative Surgery by Augmented Reality from Preoperative MRI: Initial System Design and Retrospective Trials.- ELK: Enhanced Learning through cross-modal Knowledge transfer for lesion detection in limited-sample contrast-enhanced mammography datasets.- Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples.…”Springer International Publishing AG 2025
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Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumorigenesis
Subjects: “…Liver cancer…”
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Factors influencing role preferences in decision-making of healthy women with BRCA1/2 pathogenic variants: subanalysis from a randomised controlled decision coaching trial
Subjects: “…Hereditary breast and ovarian cancer…”
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Disrupting AGR2/IGF1 paracrine and reciprocal signaling for pancreatic cancer therapy
Subjects: “…pancreatic cancer…”
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Reconstruction in early squamous cell carcinoma of the oral cavity - do free flaps improve oncological outcome?
Article (Journal) Online Resource