Cargando…
Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology
SIMPLE SUMMARY: Meningioma is the most common primary intracranial tumor. DNA methylation-based subtyping, while highly useful for diagnosis and treatment planning, is costly and not widely available. Therefore, the identification of methylation classes based on histological sections would be highly...
Autores principales: | Sehring, Jannik, Dohmen, Hildegard, Selignow, Carmen, Schmid, Kai, Grau, Stefan, Stein, Marco, Uhl, Eberhard, Mukhopadhyay, Anirban, Németh, Attila, Amsel, Daniel, Acker, Till |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647687/ https://www.ncbi.nlm.nih.gov/pubmed/37958364 http://dx.doi.org/10.3390/cancers15215190 |
Ejemplares similares
-
SangeR: the high-throughput Sanger sequencing analysis pipeline
por: Schmid, Kai, et al.
Publicado: (2022) -
Case Report of Complete Radiological Response of a Thalamic Glioblastoma After Treatment With Proton Therapy Followed by Temozolomide and Tumor-Treating Fields
por: Stein, Marco, et al.
Publicado: (2020) -
Two patients with cerebral lesions: is it tumor or multiple sclerosis? Illustrative cases
por: Friedrich, Michaela, et al.
Publicado: (2022) -
KLF4(K409Q)–mutated meningiomas show enhanced hypoxia signaling and respond to mTORC1 inhibitor treatment
por: von Spreckelsen, Niklas, et al.
Publicado: (2020) -
i3PosNet: instrument pose estimation from X-ray in temporal bone surgery
por: Kügler, David, et al.
Publicado: (2020)