In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instanceaware semantic segmentation perspective. We present Fused Text Segmentation Networks, which combine multi-level features during the feature extracting as text instance may rely on finer feature expression compared to general objects. It detects and segments the text instance jointly and simultaneously, leveraging merits from both semantic segmentation task and region proposal based object detection task. Not involving any extra pipelines, our approach surpasses the current state of the art on multioriented scene text detection benchmarks: ICDAR2015 Incidental Scene Text and MSRA-TD500 reaching Hmean 84.1% and 82.0% respectively. Morever, we report a baseline on totaltext containing curved text which suggests effectiveness of the proposed approach.
Overexpression of TRF2 protein was detected in SW480 cells and 19 of 39 colorectal carcinoma tissues (49%), no overexpression was observed in 21 of 21 adjacent peritumoral normal colorectal tissues. After siRNA silencing TRF2 expression, the proliferation and colony formation of SW480 cells were significantly inhibited. Defective TRF2 induced apoptosis and increased chromosomal instability in SW480 cells, in which there were more end-to-end fusions and ring chromosomes. Chip assay and EMSA showed that transcription factor Sp1 is involved in upregulation of TRF2. These results indicate that TRF2 is overexpressed in colorectal carcinoma, Sp1 upregulates TRF2 expression, TRF2 inhibition reduces tumorigenesis of colorectal cancer, which suggests that TRF2 and SP1 may become new targets for the development of anti-cancer therapy in colorectal carcinoma.
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