Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network [PDF]
Conference proceedings \c{opyright} 2023 International Conference
on Artificial Intelligence for Smart Community, 2022 In recent advancement towards computer based diagnostics system, the classification of brain tumor images is a challenging task. This paper mainly focuses on elevating the classification accuracy of brain tumor images with transfer learning based deep neural network. The classification approach is started with the image augmentation operation including
arxiv
Hypophysial transposition (hypophysopexy) for radiosurgical treatment of pituitary tumors involving the cavernous sinus [PDF]
, 2003 Journal ArticleStereotactic radiosurgery (SRS) is performed with increasing frequency in the treatment of residual or recurrent pituitary adenomas. Its major associated risk in these cases of residual or recurrent pituitary tumor adjacent to normal ...
Liu, James K., Schmidt, Meic H.
core +3 more sources
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models [PDF]
E-pi UAI workshop (UAI 2023), 2023 Deep learning has emerged as a prominent field in recent literature, showcasing the introduction of models that utilize transfer learning to achieve remarkable accuracies in the classification of brain tumor MRI images. However, the majority of these proposals primarily focus on balanced datasets, neglecting the inherent data imbalance present in real ...
arxiv
Whole-Exome Sequencing Study of Thyrotropin-Secreting Pituitary Adenomas [PDF]
, 2018 学位記番号 ...
Santosh, Sapkota +2 more
core
Neural cell adhesion molecules in rat endocrine tissues and tumor cells: distribution and molecular analysis [PDF]
, 1993 The adhesive properties of neural cell adhesion molecules (NCAMs) can be modified by alternative splicing of the primary transcript or posttranslational modifications.
Barthels, D. +5 more
core +1 more source
Pituitary Adenoma Segmentation [PDF]
arXiv, 2011 Sellar tumors are approximately 10-15% among all intracranial neoplasms. The most common sellar lesion is the pituitary adenoma. Manual segmentation is a time-consuming process that can be shortened by using adequate algorithms. In this contribution, we present a segmentation method for pituitary adenoma.
arxiv
An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images [PDF]
arXiv, 2023 We propose an accurate and fast classification network for classification of brain tumors in MRI images that outperforms all lightweight methods investigated in terms of accuracy. We test our model on a challenging 2D T1-weighted CE-MRI dataset containing three types of brain tumors: Meningioma, Glioma and Pituitary.
arxiv
Therapeutic potential of targeting Nrf2 by panobinostat in pituitary neuroendocrine tumors
Acta Neuropathologica CommunicationsWe aimed to identify the druggable cell-intrinsic vulnerabilities and target-based drug therapies for PitNETs using the high-throughput drug screening (HTS) and genomic sequencing methods. We examined 9 patient-derived PitNET primary cells in HTS.
Yijun Cheng +17 more
doaj +1 more source
Cancer Research, 2010 Rapamycin and its analogues have significant antiproliferative action against a variety of tumors. However, sensitivity to rapamycin is reduced by Akt activation that results from the ablative effects of rapamycin on a p70 S6K-induced negative feedback ...
V. Cerovac +8 more
semanticscholar +1 more source
Gene Expression and the Physiological Role of Transforming Growth Factor-α in the Mouse Pituitary [PDF]
, 2003 Transforming growth factor-alpha (TGF-alpha), a member of the epidermal growth factor (EGF) family, is produced within the mouse anterior pituitaries. However, the cell types of TGF-alpha-expressing cells and the physiological roles of TGF-a within mouse
Kakeya, Tomoshi +5 more
core +1 more source